Academic-research projects on GitHub

1. 1
   #1 · Developer-Y/cs-video-courses

   cs-video-courses

   A curated list of university-level Computer Science courses that have publicly available video lectures, covering topics from intro programming to machine learning, security, robotics, and more.

   83.7K
2. 2
   #2 · awesomedata/awesome-public-datasets

   awesome-public-datasets

   A huge topic-centric list of high-quality open public datasets, organized by subject area like biology, chemistry, economics, and more.

   79.6K
3. 3
   #3 · prakhar1989/awesome-courses

   awesome-courses

   It is a curated list of free, high-quality computer science courses from universities around the world, each one making its lecture materials, assignments, notes and readings available online.

   72K

4. 4

   dive-into-llms

   56.9KLordog/dive-into-llms · Jupyter Notebook

   It's a free Chinese-language tutorial series called 'Dive into LLMs' (《动手学大模型》) that teaches large language model concepts through hands-on coding exercises, built from Shanghai Jiao Tong University's NLP and AI-security course materials.

   • rlhf
   • jailbreak
   • ai-security
   • reasoning
5. 5

   nature-skills

   49.1KYuan1z0825/nature-skills · Python

   nature-skills is a collection of reusable AI agent skills focused on Nature-style academic writing and scientific figure production, built for real research workflows like paper translation, polishing, PPT generation, and review response letters.

   • codex-skills
   • ai-research
   • academic-writing
   • presentation
6. 6

   bert

   40Kgoogle-research/bert · Python

   Google's official TensorFlow implementation of BERT together with pre-trained checkpoints — a method for pre-training language representations that set state-of-the-art results on a wide range of NLP tasks, from SQuAD question answering to natural language inference.

   • named-entity-recognition
   • question-answering
   • language-model
   • neural-networks
7. 7

   Deep-Learning-Papers-Reading-Roadmap

   39.6Kfloodsung/Deep-Learning-Papers-Reading-Roadmap · Python

   A curated, structured reading roadmap of landmark deep learning papers, organized to guide a newcomer from history and basics through methods and applications to the state of the art.

   • convolutional-neural-networks
   • deep-neural-networks
   • papers
   • paper
8. 8

   google-research

   39Kgoogle-research/google-research · Jupyter Notebook

   A giant monorepo where Google Research dumps the code released alongside its papers and projects - hundreds of independent folders covering different research efforts, not one cohesive product.

   • datasets
   • science
   • papers
   • paper
9. 9

   pytorch-tutorial

   32.5Kyunjey/pytorch-tutorial · Python

   This is a collection of PyTorch tutorial code for deep learning researchers, covering models from basics to advanced topics, each implemented in under 30 lines of code where possible.

   • deep-learning-tutorial
   • generative-adversarial-network
   • neural-networks
   • neural-network
10. 10

    storm

    31.7Kstanford-oval/storm · Python

    STORM is an LLM-powered system that researches a topic on the Internet and writes a full-length Wikipedia-like report with citations. Co-STORM extends it with human-AI collaborative knowledge curation.

    • agentic-rag
    • text-generation
    • deep-research
    • retrieval-augmented-generation
11. 11

    awesome-osint

    30.3Kjivoi/awesome-osint

    This is a curated 'awesome list' of hundreds of free and paid OSINT (open source intelligence) tools and resources, organized into categories like general search, Google dorks, data breach lookup, social media, threat actors, and dark web.

    • threat-hunting
    • domain
    • osint-tool
    • information-gathering
12. 12

    d2l-en

    29.9Kd2l-ai/d2l-en · Python

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

    • recommender-system
    • hyperparameter-optimization
    • mxnet
    • kaggle
13. 13

    COVID-19

    28.9KCSSEGISandData/COVID-19

    The COVID-19 data repository by Johns Hopkins University's Center for Systems Science and Engineering (CSSE) — the case data behind their widely used pandemic Visual Dashboard.

    • health
    • engineering
    • datasets
    • science
14. 14

    fastText

    26.5Kfacebookresearch/fastText · HTML

    fastText is a library from Facebook Research for efficiently learning word vector representations and training text classifiers, such as for sentiment analysis.

    • word-embeddings
    • embedding
    • text-classification
    • classification
15. 15

    awesome-deep-learning-papers

    26.2Kterryum/awesome-deep-learning-papers · TeX

    A curated list of the most-cited deep learning papers published between 2012 and 2016, picked as must-read classics across research domains.

    • deep-learning-tutorial
    • tex
    • deep-neural-networks
    • papers
16. 16

    MiniGPT-4

    25.6KVision-CAIR/MiniGPT-4 · Python

    This is the open-sourced research code for MiniGPT-4 and MiniGPT-v2, two vision-language models that use a large language model as the interface for understanding and chatting about images.

    • vision-language
    • demo
    • model
    • vlm
17. 17

    gpt-2

    25Kopenai/gpt-2 · Python

    This is OpenAI's official code and release for GPT-2, the language model described in the paper 'Language Models are Unsupervised Multitask Learners'. It bundles the model code with scripts to generate text samples from the released GPT-2 checkpoints.

    • text-generation
    • language-model
    • python3
    • paper
18. 18

    gaussian-splatting

    24.2Kgraphdeco-inria/gaussian-splatting · Python

    This is the official reference implementation of the paper '3D Gaussian Splatting for Real-Time Radiance Field Rendering' — it reconstructs a 3D scene from photos as a set of 3D Gaussians and renders novel views in real time at 1080p.

    • 3d-gaussian-splatting
    • vr
    • gaussian-splatting
    • computer-graphics
19. 19

    awesome-computer-vision

    23.6Kjbhuang0604/awesome-computer-vision

    A curated list of resources for learning and working in computer vision, covering books, courses, papers, software, datasets, pre-trained models, tutorials and talks.

    • papers
    • pretrained-models
    • dataset
    • course
20. 20

    akshare

    23Kakfamily/akshare · Python

    AKShare is a free, open-source Python library that wraps a large set of financial data interfaces behind simple function calls - one line of code is enough to fetch a dataset.

    • financial-data
    • economics
    • stock
    • stock-analysis
21. 21

    NLP-progress

    23Ksebastianruder/NLP-progress · Python

    A curated, community-maintained document that tracks progress in Natural Language Processing: it lists the standard datasets and the current state-of-the-art results for most common NLP tasks across many languages.

    • named-entity-recognition
    • machine-translation
    • question-answering
    • sentiment-analysis
22. 22

    CVPR2026-Papers-with-Code

    22.9Kamusi/CVPR2026-Papers-with-Code

    A curated, continuously updated index of CVPR 2026 papers and their open-source code implementations, organized by computer vision topic (object detection, segmentation, 3D reconstruction, diffusion models, multimodal LLMs, etc.).

    • cvpr
    • semantic-segmentation
    • image-segmentation
    • object-detection
23. 23

    generative_agents

    22.2Kjoonspk-research/generative_agents

    This is the official code release for the research paper 'Generative Agents: Interactive Simulacra of Human Behavior'. It contains the simulation module and game environment for computational agents that simulate believable human behavior in a sandbox town called Smallville.

    • django
    • openai-api
    • llm-agents
    • multi-agent-systems
24. 24

    reinforcement-learning

    22.2Kdennybritz/reinforcement-learning · Jupyter Notebook

    A collection of Reinforcement Learning algorithm implementations, exercises, and solutions meant to accompany Sutton's 'Reinforcement Learning: An Introduction' textbook and David Silver's RL course.

    • deep-reinforcement-learning
    • tensorflow
    • reinforcement-learning
    • neural-network
25. 25

    pytorch-handbook

    21.7Kzergtant/pytorch-handbook · Jupyter Notebook

    An open-source Chinese-language book that teaches PyTorch for deep learning, written as a set of Jupyter notebooks whose code has all been tested to actually run.

    • kaggle
    • deep-learning-tutorial
    • image-classification
    • natural-language-processing
26. 26

    whitepaper

    20.1Kunicitynetwork/whitepaper · TeX

    This repository hosts the Unicity protocol whitepaper and its companion papers, describing the 'Autonomous Agentic Internet', the protocol's system model, tokenomics, and how the network components fit together.

    • tex
    • consensus
    • specification
    • smart-contracts
27. 27

    Kalman-and-Bayesian-Filters-in-Python

    19.4Krlabbe/Kalman-and-Bayesian-Filters-in-Python · Jupyter Notebook

    An interactive book that teaches Kalman and Bayesian filters (Kalman, extended Kalman, unscented Kalman, particle filters) using Python and Jupyter Notebook, focused on intuition rather than formal proofs.

    • physics
    • mathematics
    • jupyter-notebook
    • statistics
28. 28

    Awesome-Multimodal-Large-Language-Models

    18.1KBradyFU/Awesome-Multimodal-Large-Language-Models

    A curated, continuously updated list of papers, models, datasets, and benchmarks tracking the latest advances in Multimodal Large Language Models (MLLMs) — models like GPT-4o, Gemini, and VITA that understand images, video, and audio alongside text.

    • in-context-learning
    • chain-of-thought
    • multimodal-ai
    • instruction-tuning
29. 29

    AISystem

    18KInfrasys-AI/AISystem · Jupyter Notebook

    AISystem (AISys) is an open-source course covering the full AI stack: AI chip architecture, AI compilers, inference systems/engines, and training framework internals.

    • computer-architecture
    • inference-engine
    • training
    • curriculum
30. 30

    ML-NLP

    17.8KNLP-LOVE/ML-NLP · Jupyter Notebook

    A curated, structured collection of machine learning, deep learning, and NLP interview knowledge points with accompanying code implementations, organized chapter by chapter (linear regression through BERT and XLNet).

    • recommendation-system
    • bert
    • knowledge-graph
    • natural-language-processing
31. 31

    ml-visuals

    17.4Kdair-ai/ml-visuals

    ML Visuals is a free, community-built collection of 100+ professional figures and templates for machine learning, meant to improve science communication in presentations and blog posts.

    • community-driven
    • diagram
    • presentation
    • natural-language-processing
32. 32

    GNNPapers

    16.8Kthunlp/GNNPapers

    A curated reading list of must-read research papers on graph neural networks (GNN), covering surveys, model architectures, and applications across many domains.

    • graph-neural-networks
    • recommendation-system
    • papers
    • knowledge-graph
33. 33

    gensim

    16.5Kpiskvorky/gensim · Python

    Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora, aimed at the natural language processing (NLP) and information retrieval (IR) community.

    • word-embeddings
    • word2vec
    • information-retrieval
    • data-mining
34. 34

    Bringing-Old-Photos-Back-to-Life

    15.7Kmicrosoft/Bringing-Old-Photos-Back-to-Life · Python

    It's an AI old-photo restoration tool from Microsoft Research and City University of Hong Kong: deep learning models that remove scratches, fix global degradation and enhance faces in damaged photos. It's the official PyTorch implementation of a CVPR 2020 oral paper, later extended in TPAMI 2022.

    • face-restoration
    • image-to-image-translation
    • image-restoration
    • photos
35. 35

    gpt-3

    15.7Kopenai/gpt-3

    The official companion repo for the GPT-3 paper 'Language Models are Few-Shot Learners'. GPT-3 is an autoregressive language model with 175 billion parameters — 10x more than any previous non-sparse model — tested on few-shot learning across many NLP tasks.

    • gpt-3
    • pretraining
    • text-generation
    • arxiv
36. 36

    StableLM

    15.7KStability-AI/StableLM · Jupyter Notebook

    StableLM is Stability AI's family of open-source language models, including the StableLM-3B-4E1T model, StableLM-Alpha v1/v2 base and tuned models, and StableVicuna, an RLHF-tuned chatbot built on Vicuna-13B.

    • rlhf
    • model-training
    • language-model
    • llama
37. 37

    zotero

    15.7Kzotero/zotero · JavaScript

    Zotero is a free, easy-to-use tool for collecting, organizing, annotating, citing, and sharing research sources.

    • share
    • students
    • knowledge-management
    • note-taking
38. 38

    learning_research

    15.3Kpengsida/learning_research

    A free, open-source guide to doing academic research, written in Chinese by researcher Peng Sida. It distills his research experience in written form so lab newcomers can learn the craft without word-of-mouth training.

    • academic-writing
    • science
    • slides
    • students
39. 39

    deepmind-research

    15.2Kgoogle-deepmind/deepmind-research · Jupyter Notebook

    It is Google DeepMind's research repository: implementations and illustrative code that accompany its published papers, released alongside open-source environments and datasets the community can build on.

    • graph-neural-networks
    • physics
    • science
    • jupyter
40. 40

    llama3-from-scratch

    15.2Knaklecha/llama3-from-scratch · Jupyter Notebook

    A Jupyter notebook that implements Llama3 entirely from scratch, building up every matrix multiplication by hand instead of calling pre-built transformer modules.

    • attention
    • tokenization
    • from-scratch
    • educational
41. 41

    math

    15.2Kopenai/math · Lean

    A public catalogue of 719 mathematical manuscripts grouped into 372 families, written by an internal OpenAI model during evaluations on open research problems. About 42% of top-line results already have Lean formalizations.

    • lean
    • theorem-proving
    • research-tools
    • science
42. 42

    first-order-model

    15KAliaksandrSiarohin/first-order-model · Jupyter Notebook

    This is the official source code for the 'First Order Motion Model for Image Animation' paper: it animates a static source image by transferring motion from a driving video, using self-learned keypoints instead of manual annotations.

    • face-swap
    • generative-model
    • colab
    • image-to-video
43. 43

    alphafold

    14.9Kgoogle-deepmind/alphafold · Python

    AlphaFold is Google DeepMind's open source implementation of the AlphaFold v2 inference pipeline, which predicts 3D protein structures from amino acid sequences, plus a work-in-progress AlphaFold-Multimer model for protein complexes.

    • bioinformatics
    • science
    • deep-neural-networks
    • dataset
44. 44

    reinforcement-learning-an-introduction

    14.8KShangtongZhang/reinforcement-learning-an-introduction · Python

    This is a Python reimplementation of all the code, figures and examples from Sutton & Barto's textbook 'Reinforcement Learning: An Introduction' (2nd Edition).

    • code
    • numpy
    • examples
    • algorithms
45. 45

    AI-Scientist

    14.8KSakanaAI/AI-Scientist · Jupyter Notebook

    The AI Scientist is a system from Sakana AI that lets Large Language Models conduct open-ended scientific research fully automatically: generating ideas, running experiments, and writing up results as papers.

    • ai-research
    • diffusion
    • papers
    • academic
46. 46

    nltk

    14.7Knltk/nltk · Python

    NLTK is a suite of open source Python modules, bundled data sets, and tutorials supporting research and development in Natural Language Processing.

    • nlp-library
    • tokenization
    • text-processing
    • classification
47. 47

    AutoResearchClaw

    14.7Kaiming-lab/AutoResearchClaw · Python

    AutoResearchClaw is a fully autonomous, self-evolving research pipeline that turns a single research idea into a complete, conference-ready academic paper, handling literature review, sandboxed experiments, statistical analysis, multi-agent peer review and LaTeX writing end-to-end.

    • self-evolving
    • arxiv
    • latex
    • llm-agents
48. 48

    the-gan-zoo

    14.7Khindupuravinash/the-gan-zoo · Python

    A curated catalog of every uniquely-named GAN (Generative Adversarial Network) variant that has appeared in research, listing each one's acronym with its paper title and, when available, a link to the official code.

    • generative-adversarial-network
    • gan
    • papers
    • neural-network
49. 49

    conv_arithmetic

    14.7Kvdumoulin/conv_arithmetic · TeX

    This is a technical report (paper) explaining convolution arithmetic in deep learning, paired with a set of animated GIFs that visualize how different convolution operations behave.

    • convolutional-neural-networks
    • tex
    • deep-neural-networks
    • papers
50. 50

    vggt

    14.5Kfacebookresearch/vggt · Python

    VGGT (Visual Geometry Grounded Transformer) is a feed-forward neural network that directly infers a scene's 3D attributes - camera intrinsics/extrinsics, depth maps, point maps, and 3D point tracks - from one, a few, or hundreds of images, in seconds. It won the CVPR 2025 Best Paper Award.

    • point-cloud
    • meta
    • gaussian-splatting
    • 3d-reconstruction
51. 51

    transferlearning

    14.4Kjindongwang/transferlearning · Python

    A curated knowledge base covering transfer learning, domain adaptation, domain generalization and related subfields - papers, tutorials, code, datasets, scholars and surveys, maintained in both English and Chinese.

    • style-transfer
    • unsupervised-learning
    • self-supervised-learning
    • transfer-learning
52. 52

    facenet

    14.4Kdavidsandberg/facenet · Python

    This is a TensorFlow implementation of FaceNet, a face recognition system that converts face images into 128-dimensional embeddings for recognition and clustering, based on the paper 'FaceNet: A Unified Embedding for Face Recognition and Clustering'.

    • face-recognition
    • face-detection
    • classification
    • image-classification
53. 53

    latent-diffusion

    14.2KCompVis/latent-diffusion · Jupyter Notebook

    This is the official research codebase for the paper 'High-Resolution Image Synthesis with Latent Diffusion Models' by CompVis, which introduced Latent Diffusion Models (LDMs) - diffusion models trained in a compressed latent space instead of raw pixel space for efficient, high-resolution image synthesis.

    • retrieval
    • colab
    • super-resolution
    • stable-diffusion
54. 54

    zhao

    14.1Kprogramthink/zhao · Python

    A dataset documenting China's 'Princeling Party' (太子党) — the family and business networks of the country's political elite — compiled to expose corruption and nepotism among Chinese officials.

    • politics
    • investigation
    • graph-visualization
    • censorship
55. 55

    AI-Papers-of-the-Week

    13.3Kdair-ai/AI-Papers-of-the-Week

    This is a curated weekly archive listing the top AI/ML research papers, maintained by DAIR.AI since 2023, organized by week and year.

    • newsletter
    • deeplearning
    • news
    • arxiv
56. 56

    deepdream

    13.2Kgoogle/deepdream

    This is the original Google Research notebook demonstrating DeepDream, a technique for generating surreal 'neural network art' by amplifying the patterns a trained neural network detects in an image.

    • generative
    • generative-art
    • neural-network
    • jupyter notebook
57. 57

    academic-research-skills-codex

    13.1KImbad0202/academic-research-skills-codex · Python

    ARS-Codex is a Codex-native port of the Academic Research Skills (ARS) suite: a packaged Codex skill/plugin that helps with human-in-the-loop academic research workflows like literature review, paper drafting, peer review simulation, and end-to-end research pipelines.

    • ai-research
    • openai-codex
    • academic-writing
    • papers
58. 58

    deep-learning-drizzle

    13Kkmario23/deep-learning-drizzle · HTML

    A curated index that collects links to full video lectures and course materials for Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision and NLP courses taught at top universities worldwide.

    • medical-imaging
    • explainable-ai
    • graph-neural-networks
    • deep-reinforcement-learning
59. 59

    CycleGAN

    12.9Kjunyanz/CycleGAN · Lua

    CycleGAN is the original Torch implementation of 'Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks', letting you turn horses into zebras, apply painting styles like Monet or Van Gogh to photos, and perform similar image translations without needing paired before/after training images.

    • image-to-image-translation
    • style-transfer
    • torch
    • image-manipulation
60. 60

    vision_transformer

    12.7Kgoogle-research/vision_transformer · Jupyter Notebook

    This is Google Research's official JAX/Flax code release for Vision Transformer (ViT) and MLP-Mixer image classification models, including pretrained checkpoints and scripts to fine-tune them on your own data.

    • tpu
    • transfer-learning
    • vision-transformer
    • jax
61. 61

    CVPR2024-Paper-Code-Interpretation

    12.5Kextreme-assistant/CVPR2024-Paper-Code-Interpretation

    A curated archive of CVPR conference papers, code links, Chinese-language write-ups, and livestream talk collections spanning CVPR2017 through CVPR2024, compiled by the Extreme Mart (极市) team.

    • image-segmentation
    • image-classification
    • object-detection
    • papers
62. 62

    awesome-distributed-systems

    12.4Ktheanalyst/awesome-distributed-systems

    A curated reading list for learning distributed systems: papers, books, courses, videos, and blog posts organized by topic, inspired by awesome-python style lists.

    • consensus
    • books
    • papers
    • paper
63. 63

    awesome-ddd

    12.4Kheynickc/awesome-ddd

    A curated list of resources for Domain-Driven Design (DDD), CQRS, Event Sourcing, and Event Storming, covering books, free ebooks, training courses, video collections, sample projects, libraries/frameworks, podcasts, conferences, and tools.

    • software-architecture
    • design-patterns
    • system-design
    • architecture
64. 64

    Awesome-Diffusion-Models

    12.4Kdiff-usion/Awesome-Diffusion-Models · HTML

    A curated collection of papers and resources on Diffusion Models, covering theory, applications, and related research.

    • generative-model
    • papers
    • text-to-image
    • diffusion-models
65. 65

    AnimateDiff

    12.3Kguoyww/AnimateDiff · Python

    AnimateDiff is the official implementation of a research method that turns personalized text-to-image Stable Diffusion models into animation (text-to-video) generators without any extra fine-tuning of those models.

    • generative
    • comfyui
    • stable-diffusion
    • gradio
66. 66

    TRELLIS.2

    12.3Kmicrosoft/TRELLIS.2 · Python

    TRELLIS.2 is a 4-billion-parameter 3D generative model for high-fidelity image-to-3D generation, using a novel field-free sparse voxel representation (O-Voxel) to produce assets with complex topology and full PBR materials.

    • generative-model
    • image-to-3d
    • 3d-generation
    • computer-graphics
67. 67

    Open-Sora-Plan

    12.2KPKU-YuanGroup/Open-Sora-Plan · Python

    Open-Sora Plan is an open-source community project that aims to reproduce OpenAI's Sora text-to-video model, led by a PKU-affiliated AIGC lab with contributions from Huawei and Pengcheng Lab.

    • generative-model
    • ai-research
    • aigc
    • attention
68. 68

    train-llm-from-scratch

    12.2KFareedKhan-dev/train-llm-from-scratch · Python

    A from-scratch tutorial and codebase for training your own LLM end to end: tokenizing raw text, pretraining a GPT-style Transformer, and then post-training it with SFT, a reward model, DPO/ORPO/KTO, PPO and GRPO into an aligned, reasoning-style assistant.

    • dpo
    • ppo
    • instruction-tuning
    • sft
69. 69

    lime

    12.2Kmarcotcr/lime · JavaScript

    LIME (Local Interpretable Model-agnostic Explanations) is a Python package that explains individual predictions of any machine learning classifier, whether it works on text, tabular data, or images.

    • explainable-ai
    • tabular-data
    • interpretability
    • text-classification
70. 70

    spinningup

    12Kopenai/spinningup · Python

    Spinning Up is an educational resource from OpenAI for learning deep reinforcement learning: written lessons paired with a Python repo of reference algorithm implementations.

    • papers
    • algorithms
    • reinforcement-learning
    • neural-network
71. 71

    ganhacks

    11.6Ksoumith/ganhacks

    A short cheat sheet of practical tips and tricks for training Generative Adversarial Networks (GANs), originally put together as a handout from the 'How to Train a GAN?' session at NIPS 2016.

    • deep-learning-tutorial
    • generative-adversarial-network
    • gan
    • neural-networks
72. 72

    deep_learning_object_detection

    11.4Khoya012/deep_learning_object_detection · Python

    A curated paper list of object detection using deep learning, covering the field from 2014 to 2020 with links to each paper's PDF and code.

    • deeplearning
    • cnn
    • datasets
    • deep-neural-networks
73. 73

    LAVIS

    11.3Ksalesforce/LAVIS · Jupyter Notebook

    LAVIS is a Python deep learning library for language-and-vision research, offering a unified interface to 10+ multimodal tasks, 20+ datasets, and 30+ pretrained foundation models like BLIP, BLIP-2, ALBEF, and CLIP.

    • vision-language
    • model
    • jupyter-notebook
    • transformers
74. 74

    awesome-database-learning

    11.2Kpingcap/awesome-database-learning

    A curated collection of learning materials — papers, textbooks, university courses, talks and blog posts — for understanding how databases work internally, covering everything from query optimization to storage, concurrency control and distributed consensus.

    • awesome-lists
    • books
    • nosql
    • papers
75. 75

    awesome-deep-vision

    11.2Kkjw0612/awesome-deep-vision

    A curated list of deep learning resources for computer vision, covering papers on classification, detection, segmentation and more, plus courses, books, software and tutorials.

    • pose-estimation
    • cnn
    • super-resolution
    • segmentation
76. 76

    FastPhotoStyle

    11.2KNVIDIA/FastPhotoStyle · Python

    FastPhotoStyle is NVIDIA's photorealistic style transfer code: given a content photo and a style photo, it transfers the style of the style photo onto the content photo using a closed-form algorithm from an ECCV 2018 paper.

    • style-transfer
    • cv
    • arxiv
    • papers
77. 77

    cs231n.github.io

    11.1Kcs231n/cs231n.github.io · Jupyter Notebook

    This is the public notes and assignments page for Stanford's CS231n course on Convolutional Neural Networks for Visual Recognition.

    • convolutional-neural-networks
    • university
    • image-classification
    • students
78. 78

    qlora

    11Kartidoro/qlora · Jupyter Notebook

    QLoRA is a research method and code release for efficiently finetuning large quantized language models. It backpropagates gradients through a frozen 4-bit quantized model into small LoRA adapters, cutting memory use enough to finetune a 65B model on a single 48GB GPU while matching full 16-bit finetuning quality.

    • finetuning
    • peft
    • qlora
    • llama
79. 79

    numerical-linear-algebra

    11Kfastai/numerical-linear-algebra · Jupyter Notebook

    A free online textbook of Jupyter notebooks teaching Computational Linear Algebra, built from a course taught at the University of San Francisco's Masters of Science in Analytics program in 2017.

    • notebook
    • linear-algebra
    • scikit-learn
    • mathematics
80. 80

    arc-task-gen

    11Kpathwaycom/arc-task-gen · Python

    A generator for fresh, original ARC-AGI-1-style puzzle tasks whose statistical distribution matches the public ARC-AGI-1 evaluation set, so models can be tested on problems they haven't seen before.

    • llm-evaluation
    • reasoning
    • paper
    • dataset
81. 81

    fast-style-transfer

    11Klengstrom/fast-style-transfer · Python

    This is a TensorFlow implementation of fast neural style transfer: once trained, it applies the artistic style of a painting to a photo or video in a fraction of a second, building on the Gatys, Johnson, and Ulyanov style-transfer papers.

    • style-transfer
    • convolutional-neural-networks
    • generative-art
    • neural-networks
82. 82

    DeFi-Developer-Road-Map

    10.9KOffcierCia/DeFi-Developer-Road-Map · JavaScript

    A curated handbook of the best tools, resources, and references for learning DeFi and blockchain development, organized as a developer roadmap.

    • solidity
    • defi
    • roadmap
    • ethereum
83. 83

    nlp_course

    10.7Kyandexdataschool/nlp_course · Jupyter Notebook

    This is the Yandex School of Data Analysis (YSDA) Natural Language Processing course: a full set of lecture slides, seminar notebooks, and homework assignments organized by week, covering NLP from word embeddings through modern LLM topics.

    • interpretability
    • university
    • rlhf
    • attention-mechanism
84. 84

    pix2pix

    10.7Kphillipi/pix2pix · Lua

    This is the original Torch/Lua implementation accompanying the pix2pix paper (CVPR 2017), which learns to translate images from one style into another — e.g. label maps to photos, or sketches to shoes — using a conditional GAN.

    • image-to-image-translation
    • convolutional-neural-networks
    • image-manipulation
    • generative-adversarial-network
85. 85

    ParlAI

    10.6Kfacebookresearch/ParlAI · Python

    ParlAI is a Python framework from Facebook (Meta) AI Research for sharing, training, and evaluating dialogue AI models, covering everything from open-domain chitchat to task-oriented dialogue and visual question answering, with over 100 datasets available through one unified API.

    • question-answering
    • conversational-ai
    • natural-language-processing
    • dataset
86. 86

    mit-deep-learning

    10.5Klexfridman/mit-deep-learning · Jupyter Notebook

    This repository collects tutorials, assignments, and competitions from MIT's Deep Learning related courses, covering semantic segmentation, generative adversarial networks, and reinforcement learning for self-driving cars.

    • autonomous-vehicles
    • generative-adversarial-network
    • deep-reinforcement-learning
    • deeplearning
87. 87

    hello-sql

    10.4Kmouredev/hello-sql · Python

    A free course for learning the fundamentals of SQL and relational databases from scratch, built for complete beginners.

    • sql-client
    • relational-database
    • students
    • course
88. 88

    machine-learning-notes

    10.4Kroboticcam/machine-learning-notes · Jupyter Notebook

    A continuously updated, free collection of over 2000 slides and lecture notes covering machine learning, probabilistic models, deep learning, and related mathematics, written by the author over more than a decade.

    • deep-reinforcement-learning
    • mathematics
    • diffusion-models
    • natural-language-processing
89. 89

    stanford-tensorflow-tutorials

    10.4Kchiphuyen/stanford-tensorflow-tutorials · Python

    This is the code repository for Stanford's CS 20 course, 'TensorFlow for Deep Learning Research,' containing the example code used throughout the lectures.

    • university
    • deep-neural-networks
    • students
    • python3
90. 90

    Chinese-BERT-wwm

    10.2Kymcui/Chinese-BERT-wwm · Python

    This project releases a family of pre-trained Chinese BERT models trained with Whole Word Masking (WWM), including BERT-wwm, BERT-wwm-ext, RoBERTa-wwm-ext, RoBERTa-wwm-ext-large, and smaller RBT3/RBT4/RBT6/RBTL3 variants, published alongside a paper in IEEE/ACM TASLP.

    • bert
    • model
    • language-model
    • pretrained-models
91. 91

    3D-Machine-Learning

    10.2Ktimzhang642/3D-Machine-Learning

    A curated knowledge base for 3D machine learning that collects courses, datasets, and research papers covering 3D representations like point clouds, meshes, voxels and primitives.

    • primitives
    • point-cloud
    • 3d-reconstruction
    • neural-networks
92. 92

    LLMsPracticalGuide

    10.2KMooler0410/LLMsPracticalGuide

    A curated, actively updated list of practical guide resources for large language models (LLMs), covering models, data, NLP tasks, and usage restrictions. It is based on a survey paper 'Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond'.

    • instruction-tuning
    • language-model
    • llms
    • papers
93. 93

    CoreNLP

    10.1Kstanfordnlp/CoreNLP · Java

    A Java suite of core NLP tools that takes raw human language text and returns linguistic analysis: tokenization, parts of speech, named entities, parsing, coreference, and sentiment.

    • nlp-library
    • named-entity-recognition
    • sentiment-analysis
    • natural-language-processing
94. 94

    nougat

    10.1Kfacebookresearch/nougat · Python

    Nougat (Neural Optical Understanding for Academic Documents) is a PDF parser for academic papers that converts them into markdown text while correctly understanding LaTeX math equations and tables.

    • pdf-parser
    • ocr
    • document-processing
    • transformer
95. 95

    tpot

    10.1KEpistasisLab/tpot · Jupyter Notebook

    TPOT, the Tree-based Pipeline Optimization Tool, is a Python AutoML library that uses genetic programming to automatically optimize machine learning pipelines for your data; the README calls it your Data Science Assistant.

    • automl
    • gradient-boosting
    • hyperparameter-optimization
    • bioinformatics
96. 96

    Supervisor-Skills

    10KHKUSTDial/Supervisor-Skills · Python

    Supervisor-Skills is a collection of structured AI skill/prompt files that distill a professor's decade of research experience from top conferences (SIGMOD, VLDB, ICML, NeurIPS) into tools covering the full paper lifecycle, from idea evaluation to writing, figure design, and rebuttal.

    • research-tools
    • ai-research
    • academic-writing
    • deep-research
97. 97

    production-agentic-rag-course

    9.8Kjamwithai/production-agentic-rag-course · Python

    This is a hands-on, week-by-week course that teaches you to build 'arXiv Paper Curator', a production-grade Retrieval-Augmented Generation (RAG) system that fetches academic papers, indexes them, and answers research questions about them.

    • bm25
    • telegram-bot
    • langgraph
    • arxiv
98. 98

    ml-sharp

    9Kapple-aiml-research/ml-sharp · Python

    SHARP (ml-sharp) is the research code for turning a single photograph into a photorealistic 3D scene: it regresses a 3D Gaussian Splatting representation of the scene in a single feedforward pass, in under a second on a standard GPU, and that representation can then be rendered in real time from nearby viewpoints.

    • real-time-rendering
    • gaussian-splatting
    • image-to-3d
    • neural-rendering
99. 99

    figures4papers

    8.7KChenLiu-1996/figures4papers · Python

    A personal collection of Python scripts (plus an AI-agent skill) for making the kind of high-quality figures the author used in papers published at venues like Nature Machine Intelligence, ICML, NeurIPS, and ECCV.

    • cvpr
    • matplotlib
    • academic
    • data-visualization
100. 100

     Research-Starter-Kit

     8KLAMDA-NeSy/Research-Starter-Kit

     A Chinese-language handbook for students new to academic research, teaching the basics of how to do research and write papers from scratch.

     • handbook
     • ai-research
     • students
     • writing

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