Neural-network projects on GitHub

1. 1
   #1 · tensorflow/tensorflow

   tensorflow

   TensorFlow is an open source machine learning platform for building and deploying ML-powered applications.

   201.1K
2. 2
   #2 · pytorch/pytorch

   pytorch

   PyTorch is a Python package providing fast tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system, serving as both a NumPy-like GPU library and a flexible deep learning research platform.

   104.8K
3. 3
   #3 · karpathy/autoresearch

   autoresearch

   autoresearch gives an AI coding agent a small, real LLM training setup (a simplified single-GPU version of nanochat) and lets it autonomously edit the training code, run 5-minute experiments, and keep what works overnight, so you wake up to a log of experiments and hopefully a better model.

   98.1K

4. 4

   models

   77.6Ktensorflow/models · Python

   TensorFlow Model Garden is a repository of state-of-the-art model implementations and examples built with TensorFlow, covering officially maintained models, research models, and a curated community list.

   • model
   • pretrained-models
   • tensorflow
   • transformer
5. 5

   tesseract

   77.1Ktesseract-ocr/tesseract · C++

   Tesseract is an open source OCR engine: it ships as the libtesseract library plus a command line program called tesseract that reads text out of images.

   • tesseract
   • text-extraction
   • lstm
   • unicode
6. 6

   the-algorithm

   74Ktwitter/the-algorithm · Scala

   This is the actual source code for X's (Twitter's) recommendation algorithm — the collection of services and jobs that build and serve feeds like the For You Timeline, Search, Explore, and Notifications.

   • recommendation-system
   • scala
   • social-media
   • knowledge-graph
7. 7

   nanoGPT

   63.9Kkarpathy/nanoGPT · Python

   nanoGPT is the simplest, fastest repository for training and finetuning medium-sized GPT language models, written as a minimal rewrite of minGPT.

   • karpathy
   • gpt-2
   • text-generation
   • gpt
8. 8

   Real-Time-Voice-Cloning

   60.2KCorentinJ/Real-Time-Voice-Cloning · Python

   It's an implementation of SV2TTS, a deep learning framework that lets you clone a voice from just a few seconds of audio and then generate arbitrary speech in that voice in real time.

   • ai-research
   • speech
   • voice-cloning
   • speech-synthesis
9. 9

   DeepLearning-500-questions

   57.7Kscutan90/DeepLearning-500-questions · JavaScript

   It is a Chinese-language Q&A style reference covering probability, linear algebra, machine learning, deep learning, and computer vision, organized as answers to 500+ commonly asked questions across 18 chapters and over 500,000 characters. It is also sold in print as 'Deep Learning 500 Questions — AI Engineer Interview Guide' (深度学习500问——AI工程师面试宝典).

   • svm
   • transfer-learning
   • image-segmentation
   • cnn
10. 10

    100-Days-Of-ML-Code

    51.9KAvik-Jain/100-Days-Of-ML-Code

    This is a personal learning log by Avik Jain documenting 100 days of machine learning coding, following the #100DaysOfMLCode challenge proposed by Siraj Raval. It records daily progress on ML topics with notes, code, and infographics.

    • svm
    • machine-learning-algorithms
    • linear-algebra
    • scikit-learn
11. 11

    upscayl

    50.7Kupscayl/upscayl · TypeScript

    Upscayl is a free, open-source desktop app that enlarges and enhances low-resolution images using AI upscaling models like Real-ESRGAN, running locally via Vulkan.

    • esrgan
    • image-upscaling
    • super-resolution
    • image
12. 12

    TensorFlow-Examples

    43.7Kaymericdamien/TensorFlow-Examples · Jupyter Notebook

    A hands-on tutorial collection that teaches TensorFlow through runnable examples, from a hello world notebook up to deep neural networks and GANs.

    • tensorboard
    • word2vec
    • rnn
    • unsupervised-learning
13. 13

    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
14. 14

    deeplearningbook-chinese

    37.8Kexacity/deeplearningbook-chinese · TeX

    This is the official Chinese translation of the book 'Deep Learning' by Goodfellow, Bengio, and Courville, produced by a group of volunteer translators and later published in print by People's Posts and Telecommunications Press.

    • chinese-translation
    • tex
    • latex
    • ebook
15. 15

    qdrant

    35.1Kqdrant/qdrant · Rust

    Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

    • image-search
    • neural-search
    • recommender-system
    • vector-search-engine
16. 16

    caffe

    34.6KBVLC/caffe · C++

    Caffe is a deep learning framework focused on expression, speed and modularity, built by Berkeley AI Research (BAIR) and the Berkeley Vision and Learning Center (BVLC) with community contributors.

    • vision
    • pretrained-models
    • academic
    • artificial-intelligence
17. 17

    CLIP

    34.5Kopenai/CLIP · Jupyter Notebook

    CLIP is a neural network trained on many (image, text) pairs: given an image, it predicts the most relevant text snippet in natural language, zero-shot, without directly optimizing for the task.

    • vision-language
    • vision-language-model
    • image-classification
    • pretrained-models
18. 18

    spaCy

    34Kexplosion/spaCy · Python

    spaCy is a library for advanced Natural Language Processing in Python and Cython, designed from day one for real products. It ships pretrained pipelines and supports tokenization and training for 70+ languages.

    • cython
    • nlp-library
    • production
    • named-entity-recognition
19. 19

    x-algorithm

    33.7Kxai-org/x-algorithm · Rust

    This is the open-source code behind X's (Twitter's) 'For You' feed algorithm. It finds, scores, ranks, and filters which posts each viewer sees, blending posts from followed accounts with ML-discovered out-of-network content.

    • ranking
    • transparency
    • recommendation-system
    • social-media
20. 20

    netron

    33.6Klutzroeder/netron · JavaScript

    Netron is a viewer for neural network, deep learning and machine learning models that lets you open a model file and visually inspect its graph, layers and weights.

    • coreml
    • machinelearning
    • deeplearning
    • keras
21. 21

    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
    • academic-research
22. 22

    AI-Expert-Roadmap

    31.3KAMAI-GmbH/AI-Expert-Roadmap · JavaScript

    A set of charts that map the paths and technologies for becoming a data scientist, machine learning engineer, or AI expert — the i.am.ai AI Expert Roadmap, drawn up by AMAI and published as the 2022 edition.

    • study-plan
    • roadmap
    • data-engineering
    • data-analysis
23. 23

    EasyOCR

    30.1KJaidedAI/EasyOCR · Python

    A ready-to-use, open-source OCR library for Python: it detects and reads text in images across 80+ languages and popular writing scripts — Latin, Chinese, Arabic, Devanagari, Cyrillic and more.

    • lstm
    • information-retrieval
    • data-mining
    • cnn
24. 24

    handson-ml2

    29.9Kageron/handson-ml2 · Jupyter Notebook

    This is a collection of Jupyter notebooks with the example code and exercise solutions for the second edition of the O'Reilly book 'Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow'.

    • keras
    • beginner
    • scikit-learn
    • numpy
25. 25

    awesome-deep-learning

    29.1KChristosChristofidis/awesome-deep-learning

    A curated GitHub list of deep learning tutorials, projects and communities, with about 29,000 stars. It's a jumping-off point for learning the field, not software you run.

    • deep-learning-tutorial
    • tutorials
    • books
    • english
26. 26

    spleeter

    28.5Kdeezer/spleeter · Python

    Spleeter is Deezer's source separation library: pretrained models, written in Python on TensorFlow, that split a song into stems like vocals, drums, bass and piano. It ships 2-, 4- and 5-stem variants, and the 2- and 4-stem models score high on the musdb dataset.

    • model
    • audio-processing
    • pretrained-models
    • tensorflow
27. 27

    waifu2x

    28.2Knagadomi/waifu2x · Lua

    waifu2x is a command-line tool that upscales anime-style art 2x and removes noise using deep convolutional neural networks — it also supports photos with a separate model.

    • torch
    • anime
    • super-resolution
    • upscaling
28. 28

    DeepSpeech

    26.8Kmozilla/DeepSpeech · C++

    Mozilla DeepSpeech is an open-source Speech-To-Text engine — a machine-learning model that turns audio into text on your own hardware.

    • mpl
    • asr
    • on-device-ai
    • on-device
29. 29

    ultimatevocalremovergui

    26.7KAnjok07/ultimatevocalremovergui · Python

    UVR is a free desktop app that removes vocals from audio files using state-of-the-art AI source-separation models — handy for karaoke tracks, instrumentals and sampling.

    • karaoke
    • audio-processing
    • music
    • ffmpeg
30. 30

    darknet

    26.5Kpjreddie/darknet · C

    Darknet is an open source neural network framework written in C and CUDA, used for training and running deep learning models for computer vision tasks like object detection (YOLO).

    • darknet
    • yolo
    • cnn
    • object-detection
31. 31

    deep-learning-for-image-processing

    26.4KWZMIAOMIAO/deep-learning-for-image-processing · Python

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

    • swin-transformer
    • mask-rcnn
    • tensorflow2
    • instance-segmentation
32. 32

    Detectron

    26.3Kfacebookresearch/Detectron · Python

    Detectron is Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet, built as a research platform for computer vision.

    • segmentation
    • model-serving
    • image-classification
    • object-detection
33. 33

    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
34. 34

    handson-ml

    25.6Kageron/handson-ml · Jupyter Notebook

    Jupyter notebooks that teach Machine Learning fundamentals in Python: the example code and exercise solutions for the first edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and TensorFlow'.

    • colab-notebook
    • scikit-learn
    • ml
    • distributed
35. 35

    Mask_RCNN

    25.6Kmatterport/Mask_RCNN · Python

    An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.

    • tensorboard
    • mask-rcnn
    • instance-segmentation
    • transfer-learning
36. 36

    vit-pytorch

    25.6Klucidrains/vit-pytorch · Python

    A PyTorch implementation of the Vision Transformer (ViT), an image classification model that reaches SOTA results using just a single transformer encoder instead of convolutions.

    • transfer-learning
    • vision-transformer
    • distributed-training
    • classification
37. 37

    fastbook

    25.4Kfastai/fastbook · Jupyter Notebook

    This repo contains the official Jupyter Notebooks for 'the fastai book', an introduction to deep learning, the fastai library, and PyTorch.

    • notebooks
    • tabular-data
    • transfer-learning
    • deep-learning-tutorial
38. 38

    pytorch-CycleGAN-and-pix2pix

    25.3Kjunyanz/pytorch-CycleGAN-and-pix2pix · Python

    Open-source PyTorch implementations of two classic image-to-image translation models: CycleGAN and pix2pix. They turn images from one domain into another, like horses into zebras or building label maps into photos.

    • image-to-image-translation
    • image-manipulation
    • generative-adversarial-network
    • gan
39. 39

    PlotNeuralNet

    25KHarisIqbal88/PlotNeuralNet · TeX

    PlotNeuralNet is a collection of LaTeX code for drawing neural network diagrams for reports and presentations, with ready-made examples like FCN-8 and FCN-32.

    • plotting
    • diagrams-as-code
    • tex
    • diagrams
40. 40

    minGPT

    25Kkarpathy/minGPT · Python

    minGPT is a minimal PyTorch re-implementation of OpenAI's GPT, covering both training and inference, written to be small and easy to read rather than production-optimized.

    • karpathy
    • text-generation
    • tokenization
    • attention-mechanism
41. 41

    homemade-machine-learning

    24.8Ktrekhleb/homemade-machine-learning · Jupyter Notebook

    A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

    • clustering
    • machinelearning
    • machine-learning-algorithms
    • jupyter
42. 42

    Paddle

    24.1KPaddlePaddle/Paddle · C++

    PaddlePaddle is an open-source deep learning platform — China's first independently developed one, open-sourced since 2016 — spanning a core framework, model libraries, end-to-end dev kits and service platforms.

    • paddlepaddle
    • distributed-training
    • scientific-computing
    • neural-networks
43. 43

    examples

    24.1Kpytorch/examples · Python

    A curated set of short, standalone PyTorch example projects covering computer vision, text, and reinforcement learning, each meant to be emulated in your own work.

    • gan
    • cnn
    • model-training
    • tutorials
44. 44

    ncnn

    24KTencent/ncnn · C++

    ncnn is a high-performance neural network inference framework built by Tencent and optimized for mobile, embedded, and desktop deployment. It is used in Tencent apps like QQ, Qzone, and WeChat to run deep learning models on-device.

    • darknet
    • riscv
    • ncnn
    • mxnet
45. 45

    audiocraft

    23.7Kfacebookresearch/audiocraft · Jupyter Notebook

    AudioCraft is a PyTorch library for deep learning research on audio generation, built around generative models like MusicGen (text-to-music) and AudioGen (text-to-sound), plus the EnCodec neural audio codec.

    • text-to-audio
    • music-generation
    • audio-generation
    • audio-processing
46. 46

    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
47. 47

    100-Days-Of-ML-Code

    22.2KMLEveryday/100-Days-Of-ML-Code · Python

    The Chinese edition of the 100 Days of ML Code challenge: a day-by-day machine learning learning log with infographics, notes and Python code, spanning supervised and unsupervised learning. It translates the original challenge by Avik-Jain and has gathered 22k+ stars.

    • chinese-simplified
    • unsupervised-learning
    • chinese-translation
    • machine-learning-algorithms
48. 48

    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
    • jupyter notebook
49. 49

    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
50. 50

    onnx

    21.6Konnx/onnx · Python

    ONNX (Open Neural Network Exchange) is an open standard for machine learning interoperability — an open ecosystem and format for AI models, both deep learning and traditional ML.

    • open-standard
    • keras
    • scikit-learn
    • ml
51. 51

    deep-learning-with-python-notebooks

    20.3Kfchollet/deep-learning-with-python-notebooks · Jupyter Notebook

    Companion Jupyter notebooks for the book 'Deep Learning with Python' by Francois Chollet (and Matthew Watson for the 3rd edition, 2025), implementing all its code samples, plus legacy notebooks for the 2nd edition (2021) and 1st edition (2017).

    • kaggle
    • deep-learning-tutorial
    • text-generation
    • jax
52. 52

    pytorch-deep-learning

    19.2Kmrdbourke/pytorch-deep-learning · Jupyter Notebook

    Free course materials for the Zero to Mastery Learn PyTorch for Deep Learning course — a hands-on, code-first introduction to deep learning. The author jokes it's the second best place to learn PyTorch on the internet, after the official docs.

    • colab
    • datasets
    • youtube
    • curriculum
53. 53

    tfjs

    19.1Ktensorflow/tfjs · TypeScript

    An open-source, hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and in Node.js.

    • tensorflow
    • webgl
    • react-native
    • gpu-acceleration
54. 54

    DeOldify

    18.5Kjantic/DeOldify · Python

    DeOldify is a deep learning project that colorizes and restores old black and white photos and videos. You give it a grayscale image or clip and it returns a colorized version.

    • image-restoration
    • gan
    • pretrained-models
    • video-processing
55. 55

    Machine-Learning-Tutorials

    18.3Kujjwalkarn/Machine-Learning-Tutorials

    A topic-wise curated list of machine learning and deep learning tutorials, articles and other resources, maintained as a single GitHub README.

    • machinelearning
    • kaggle
    • r
    • deep-learning-tutorial
56. 56

    style2paints

    18.2Klllyasviel/style2paints · JavaScript

    Style2paints is an AI-driven tool that colorizes anime line art, producing layered results (flat color, shading, rendering) similar to a real human artist's painting workflow.

    • drawing
    • color
    • anime
    • art
57. 57

    neural-networks-and-deep-learning

    18Kmnielsen/neural-networks-and-deep-learning · Python

    Code samples for Michael Nielsen's book 'Neural Networks and Deep Learning' — a set of Python programs meant to be read and run while working through the book.

    • deep-learning-tutorial
    • neural-networks
    • study-guide
    • examples
58. 58

    face-api.js

    18Kjustadudewhohacks/face-api.js · TypeScript

    face-api.js is a JavaScript API for detecting and recognizing faces, built on top of tensorflow.js, that runs both in the browser and in Node.js.

    • emotion-recognition
    • face-recognition
    • face-detection
    • js
59. 59

    ml-stable-diffusion

    18Kapple-aiml-research/ml-stable-diffusion · Python

    This is Apple's toolkit for running Stable Diffusion image generation on Apple Silicon using Core ML, so it can run efficiently on Mac, iPad, and iPhone.

    • coreml
    • on-device
    • stable-diffusion
    • text-to-image
60. 60

    micrograd

    17.9Kkarpathy/micrograd · Jupyter Notebook

    Micrograd is a tiny scalar-valued autograd engine that implements backpropagation (reverse-mode autodiff) over a dynamically built DAG, plus a small neural network library on top with a PyTorch-like API.

    • graph
    • algorithms
    • jupyter notebook
    • beginner-friendly
61. 61

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

    • machinelearning
    • mxnet
    • word2vec
    • rnn
62. 62

    deeplearning-models

    17.6Krasbt/deeplearning-models · Jupyter Notebook

    A large collection of Jupyter Notebooks implementing various deep learning architectures, models, and training tips for TensorFlow and PyTorch.

    • rnn
    • transfer-learning
    • convolutional-neural-networks
    • gan
63. 63

    CNTK

    17.6Kmicrosoft/CNTK · C++

    The Microsoft Cognitive Toolkit (CNTK) is an open-source deep-learning toolkit that describes neural networks as a series of computational steps in a directed graph.

    • deep-neural-networks
    • distributed
    • distributed-training
    • c-sharp
64. 64

    instant-ngp

    17.6KNVlabs/instant-ngp · Cuda

    NVIDIA Research's implementation of four neural graphics primitives — neural radiance fields (NeRF), signed distance functions, neural images and neural volumes — fast enough to train a fox NeRF in under 5 seconds.

    • vr
    • real-time-rendering
    • neural-rendering
    • 3d-reconstruction
65. 65

    awesome-tensorflow

    17.5Kjtoy/awesome-tensorflow

    A curated list of TensorFlow experiments, libraries, and projects — an index of resources for learning and building with TensorFlow, inspired by awesome-machine-learning.

    • generative-adversarial-network
    • books
    • tensorflow
    • reinforcement-learning
66. 66

    PyTorch-GAN

    17.5Keriklindernoren/PyTorch-GAN · Python

    It is a collection of PyTorch implementations of GAN varieties from research papers: 32 models ranging from the original GAN and DCGAN to CycleGAN, StarGAN and WGAN-GP.

    • image-to-image-translation
    • style-transfer
    • generative-adversarial-network
    • inpainting
67. 67

    Stockfish

    16.9Kofficial-stockfish/Stockfish · C++

    Stockfish is a free, strong UCI chess engine derived from Glaurung 2.1 that analyzes chess positions and computes the optimal moves.

    • engine
    • unix
    • algorithms
    • artificial-intelligence
68. 68

    leedl-tutorial

    16.8Kdatawhalechina/leedl-tutorial · Jupyter Notebook

    A free Chinese-language deep learning tutorial (nicknamed the 'Apple Book') based on Prof. Li Hongyi's (Hung-yi Lee) 'Machine Learning' course, covering most major deep learning topics in detail.

    • rnn
    • explainable-ai
    • knowledge-distillation
    • transfer-learning
69. 69

    Awesome-pytorch-list

    16.7Kbharathgs/Awesome-pytorch-list

    A curated, large-scale list of PyTorch-related projects on GitHub: models, libraries, tools, tutorials, books and paper implementations organized by category.

    • utility-library
    • nlp-library
    • cv
    • facebook
70. 70

    awesome-artificial-intelligence

    16.7Kowainlewis/awesome-artificial-intelligence · Python

    An opinionated, actively maintained collection of AI learning resources — courses, books, papers, and guides — for software developers building generative AI and agentic systems. It has over 16,600 GitHub stars.

    • unsupervised-learning
    • papers
    • coding-agents
    • reinforcement-learning
71. 71

    LaTeX-OCR

    16.6Klukas-blecher/LaTeX-OCR · Python

    A learning-based OCR system: feed it an image of a math formula and it returns the matching LaTeX code.

    • vision-transformer
    • streamlit
    • latex
    • mathematics
72. 72

    Screenshot-to-code

    16.5Kemilwallner/Screenshot-to-code · HTML

    A neural network that turns a design mock-up image into the HTML markup of a static website — render that markup and you get the original design back.

    • lstm
    • keras
    • cnn
    • jupyter
73. 73

    avatarify-python

    16.5Kalievk/avatarify-python · Python

    It puts photorealistic animated avatars into Zoom, Skype and other video-conferencing apps: instead of your webcam feed, an AI model drives a face photo with your movements.

    • webcam
    • colab
    • gan
    • video-processing
74. 74

    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
75. 75

    pykan

    16.3KKindXiaoming/pykan · Jupyter Notebook

    A Python implementation of Kolmogorov-Arnold Networks (KANs), a promising alternative to MLPs, released with the papers 'KAN: Kolmogorov-Arnold Networks' and 'KAN 2.0'.

    • hyperparameter-tuning
    • interpretability
    • physics
    • math
76. 76

    TensorFlow-Course

    16.3Kinstillai/TensorFlow-Course · Jupyter Notebook

    A curated collection of simple, ready-to-use TensorFlow tutorials, covering topics from basic tensors and automatic differentiation to CNNs, custom training loops, and TFRecords.

    • deep-learning-tutorial
    • tensorflow
    • curriculum
    • course
77. 77

    burn

    16.1Ktracel-ai/burn · Rust

    Burn is a Rust tensor library and deep learning framework for both training and inference, so the same code takes a model from prototype to production on everything from GPU clusters to the browser.

    • tensor
    • rocm
    • cpu
    • webgpu
78. 78

    openface

    15.4Kcmusatyalab/openface · Lua

    OpenFace is a free, open-source face recognition toolkit built on deep neural networks, developed by Carnegie Mellon University.

    • face-recognition
    • deep-neural-networks
    • classification
    • image-classification
79. 79

    cheatsheets-ai

    15.4Kkailashahirwar/cheatsheets-ai

    A curated collection of one-page cheat sheets covering popular machine learning and deep learning tools such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, PySpark, Dask, and R's dplyr/tidyr, aimed at ML and DL researchers.

    • scipy
    • cheat-sheet
    • matplotlib
    • spark
80. 80

    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
    • from-scratch
    • tokenization
    • educational
81. 81

    nlp-tutorial

    14.9Kgraykode/nlp-tutorial · Jupyter Notebook

    A collection of short PyTorch implementations covering core NLP and deep learning models, from word embeddings to Transformers and BERT, meant as a study resource.

    • word2vec
    • bert
    • attention
    • colab
82. 82

    tortoise-tts

    14.9Kneonbjb/tortoise-tts · Jupyter Notebook

    Tortoise is a text-to-speech system built with an emphasis on quality: strong multi-voice capabilities and highly realistic prosody and intonation. This repo contains everything needed to run it in inference mode.

    • speech-synthesis
    • diffusion-models
    • tts
    • text-to-speech
83. 83

    brain.js

    14.9KBrainJS/brain.js · TypeScript

    brain.js is a GPU-accelerated neural network library written in JavaScript that runs in both browsers and Node.js. It is a continuation of the unmaintained harthur/brain project.

    • stream
    • convolutional-neural-networks
    • time-series
    • webgl
84. 84

    CorridorKey

    14.9Knikopueringer/CorridorKey · Python

    CorridorKey is a neural network tool that keys green or blue screen footage, predicting the true un-multiplied foreground color and a clean linear alpha channel for every pixel, including semi-transparent ones like motion blur or out-of-focus edges.

    • amd-gpu
    • rocm
    • video-processing
    • image-processing
85. 85

    machine-learning-zoomcamp

    14.8KDataTalksClub/machine-learning-zoomcamp · Jupyter Notebook

    Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

    • aws-lambda
    • certification
    • transfer-learning
    • keras
86. 86

    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
    • academic-research
87. 87

    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
88. 88

    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
89. 89

    dlib

    14.5Kdavisking/dlib · C++

    Dlib is a modern C++ toolkit containing machine learning algorithms and tools for building real-world machine learning and data analysis applications, with a Python API included.

    • face-detection
    • toolkit
    • c-plus-plus
    • object-detection
90. 90

    nni

    14.4Kmicrosoft/nni · Python

    NNI (Neural Network Intelligence) is Microsoft's open-source AutoML toolkit that automates the machine learning lifecycle: feature engineering, neural architecture search, model compression, and hyperparameter tuning.

    • automl
    • hyperparameter-tuning
    • nas
    • hyperparameter-optimization
91. 91

    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
92. 92

    handson-ml3

    14.3Kageron/handson-ml3 · Jupyter Notebook

    A collection of Jupyter notebooks with example code and exercise solutions for the 3rd edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow'.

    • keras
    • scikit-learn
    • tensorflow
    • reinforcement-learning
93. 93

    mit-deep-learning-book-pdf

    14.3Kjanishar/mit-deep-learning-book-pdf · Java

    This repo provides PDF versions (chapter-wise and complete) of the MIT Press book 'Deep Learning' by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is otherwise only available as an HTML book online.

    • lecture-notes
    • linear-algebra
    • deeplearning
    • neural-networks
94. 94

    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
95. 95

    yolov7

    14.2KWongKinYiu/yolov7 · Jupyter Notebook

    This is the official PyTorch implementation of YOLOv7, a real-time object detection model that achieved new state-of-the-art speed/accuracy results using a technique the authors call 'trainable bag-of-freebies'.

    • darknet
    • instance-segmentation
    • semantic-segmentation
    • pose-estimation
96. 96

    ai-edu

    14.1Kmicrosoft/ai-edu · HTML

    AI-Edu is an open-source AI education community created by Microsoft Research Asia's AI education team, offering systematised tutorials, practice cases and practice projects for Chinese learners.

    • chinese-language
    • microsoft
    • curriculum
    • text-to-speech
97. 97

    stable-baselines3

    13.9KDLR-RM/stable-baselines3 · Python

    Stable Baselines3 (SB3) is a set of reliable PyTorch implementations of reinforcement learning algorithms, meant to serve as solid baselines for research and industry projects.

    • gym
    • toolbox
    • algorithm
    • tensorflow
98. 98

    Wav2Lip

    13.2KRudrabha/Wav2Lip · Python

    Wav2Lip is the open-source code and pretrained models behind an ACM Multimedia 2020 paper: it lip-syncs any video to any target speech audio with high accuracy, for research, academic, and personal use.

    • face-detection
    • speech
    • gan
    • pretrained-models
99. 99

    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
    • jupyter notebook
    • academic-research
100. 100

     tutorials

     13.1KMorvanZhou/tutorials · Python

     This is a large collection of beginner-friendly Python tutorials by MorvanZhou (莫烦Python) covering machine learning, deep learning, reinforcement learning and related tools, each tutorial paired with a video lesson.

     • keras
     • pandas
     • numpy
     • tensorflow

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