Topics / #papers

Papers projects on GitHub

Notable research papers, reading lists and paper implementations.

As of , the most-starred Papers projects on GitHub are papers-we-love (110.7K stars), Prompt-Engineering-Guide (79.3K stars) and academic-research-skills (52.7K stars). GitHub.Locker tracks 71 Papers repositories with 1.1M stars combined. The fastest-growing on October 17 was nature-skills, with +171 stars in a day.

71Projects
1.1MStars in total
+917Stars in a day
Browse in the catalog →github.com/topics/papers ↗

Hot right now

Most stars gained in a day · Oct 17

+171

nature-skills

Yuan1z0825/nature-skills · ★ 49.1K

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.

+144

Tiersense

wangmingxuan666/Tiersense · ★ 454

TierSense is a hub of three research-backed APIs that give an AI agent decision signals about task difficulty, which history steps are ready to compress, and whether to compress or recall memory right now, so your own app can act on those signals.

+141

academic-research-skills

Imbad0202/academic-research-skills · ★ 52.7K

A comprehensive suite of Claude Code skills covering the full academic research pipeline — literature review, writing, peer review, and revision — built to act as a copilot rather than an autopilot for academic papers.

+71

math

openai/math · ★ 15.2K

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.

The all-time top

71 projects · by stars

  1. #1 · papers-we-love/papers-we-love

    papers-we-love

    Papers We Love is a curated directory of notable computer science papers gathered from across the web, built around a community that reads and discusses them.

    110.7K
  2. #2 · dair-ai/Prompt-Engineering-Guide

    Prompt-Engineering-Guide

    This is DAIR.AI's Prompt Engineering Guide: a large, continuously updated collection of guides, papers, lecture notes, and notebooks covering prompt engineering techniques, context engineering, retrieval-augmented generation (RAG), and building AI agents with LLMs.

    79.3K
  3. #3 · Imbad0202/academic-research-skills

    academic-research-skills

    A comprehensive suite of Claude Code skills covering the full academic research pipeline — literature review, writing, peer review, and revision — built to act as a copilot rather than an autopilot for academic papers.

    52.7K
  1. 4

    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.

  2. 5

    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.

  3. 6

    google-research

    38.9Kgoogle-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.

  4. 7

    applied-ml

    30.6Keugeneyan/applied-ml

    applied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.

  5. 8

    awesome-generative-ai-guide

    29.9Kaishwaryanr/awesome-generative-ai-guide · HTML

    A one-stop GitHub hub for generative AI learning: research updates, 90+ free courses, code notebooks, and interview prep materials, all organized around one question — what do you want to do with AI?

  6. 9

    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.

  7. 10

    Awesome-LLM

    27.4KHannibal046/Awesome-LLM

    A curated, continuously updated list of resources about Large Language Models (LLMs): milestone and other research papers, training/inference frameworks, open LLM checkpoints, benchmarks, courses, and books.

  8. 11

    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.

  9. 12

    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.

  10. 13

    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.

  11. 14

    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.).

  12. 15

    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.

  13. 16

    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.

  14. 17

    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.

  15. 18

    tensor2tensor

    17.5Ktensorflow/tensor2tensor · Python

    A library of deep learning models and datasets from researchers and engineers on the Google Brain team, built to make deep learning more accessible and speed up ML research.

  16. 19

    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.

  17. 20

    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.

  18. 21

    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.

  19. 22

    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.

  20. 23

    pwc

    15.3Kzziz/pwc

    A curated GitHub reading list of machine learning research papers: every entry pairs the paper PDF with a link to an open-source implementation and shows that implementation's star count. Nothing to install or run.

  21. 24

    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.

  22. 25

    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.

  23. 26

    awesome-systematic-trading

    14.8Kpaperswithbacktest/awesome-systematic-trading · Python

    A curated list of resources for systematic (quantitative) trading: papers, libraries, packages, books, articles, videos, blogs and courses for finding, developing and running trading strategies.

  24. 27

    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.

  25. 28

    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.

  26. 29

    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.

  27. 30

    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.

  28. 31

    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.

  29. 32

    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.

  30. 33

    Time-Series-Library

    13Kthuml/Time-Series-Library · Python

    TSLib is an open-source Python library for deep learning researchers working on time series: a clean codebase to evaluate advanced deep time series models or develop your own, with around 13,000 GitHub stars.

  31. 34

    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.

  32. 35

    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.

  33. 36

    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.

  34. 37

    MathModel

    12.4Kzhanwen/MathModel · TeX

    A large Chinese repository collecting resources for mathematical modeling competitions: contest problems and award-winning papers from China's graduate and undergraduate math modeling contests (and some American MCM papers), plus LaTeX/Word paper templates, algorithm mind maps, textbooks, and Matlab tutorials.

  35. 38

    LLMSurvey

    12.2KRUCAIBox/LLMSurvey · Python

    It is the official GitHub page for the survey paper 'A Survey of Large Language Models' — a curated collection of papers and resources on how LLMs are built, adapted, and used.

  36. 39

    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.

  37. 40

    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.

  38. 41

    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.

  39. 42

    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.

  40. 43

    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.

  41. 44

    awesome-semantic-segmentation

    10.8Kmrgloom/awesome-semantic-segmentation

    A curated list of resources for semantic segmentation: network architectures, papers, code implementations, datasets, benchmarks, annotation tools, and losses used in the field.

  42. 45

    ml-intern

    10.8Khuggingface/ml-intern · Python

    ML Intern was a CLI agent that autonomously researched, wrote, and shipped ML code using the Hugging Face ecosystem, with deep access to docs, papers, datasets, and cloud compute. The repo is now archived — Hugging Face folded this functionality into HuggingChat's ML Intern mode.

  43. 46

    awesome-threat-intelligence

    10.7Khslatman/awesome-threat-intelligence

    A curated catalog of threat intelligence resources — feeds, tools, frameworks, standards and research for tracking online threats. It is a pointer list on GitHub, not software you install.

  44. 47

    techniques

    10.3Ksatellite-image-deep-learning/techniques

    A curated list of techniques for deep learning with satellite and aerial imagery, covering architectures, models and algorithms for tasks like classification, segmentation and object detection.

  45. 48

    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.

  46. 49

    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'.

  47. 50

    pdfs

    10.2Ktpn/pdfs · HTML

    A large, technically-oriented collection of PDFs — papers, specs, decks and manuals — kept as a public GitHub repo, with a companion site for browsing and searching it at tpn.github.io/pdfs.

  48. 51

    feynman

    10KCompanion-Inc/feynman · TypeScript

    An open source AI research agent: a terminal app that searches papers, runs literature reviews and deep-research workflows, and links every claim back to its sources.

  49. 52

    Research-Paper-Writing-Skills

    7.6KMaster-cai/Research-Paper-Writing-Skills

    This repository packages a 'research-paper-writing' Skill that teaches AI coding agents how to draft and improve ML/CV/NLP papers (Abstract, Introduction, Method, Experiments, Conclusion), curated and adapted from Prof. Peng Sida's open writing notes.

  50. 53

    sutskever-30-implementations

    5.2Kpageman/sutskever-30-implementations · Jupyter Notebook

    It is a from-scratch NumPy implementation suite covering all 30 deep learning papers from Ilya Sutskever's famous reading list, the one he told John Carmack would teach '90% of what matters' in the field.

  51. 54

    Engram

    4.8Kdeepseek-ai/Engram · Python

    This is the official code release for the DeepSeek paper 'Conditional Memory via Scalable Lookup', introducing Engram, a module that gives Transformers a native knowledge-lookup primitive by modernizing classic N-gram embeddings for O(1) retrieval, as a complement to Mixture-of-Experts sparsity.

  52. 55

    UniMate

    1.8KFriedrich-M/UniMate · Python

    UniMate is the official code release for a SIGGRAPH Asia 2026 paper: a single diffusion/flow-matching model that generates motion for very different skeleton types (bipedal, quadrupedal, avian, marine, insectoid, serpentine, and even rigid articulated objects) from a rigged 3D asset plus a text prompt, without retraining per skeleton.

  53. 56

    rrsi

    1.5Kgoogle-research/rrsi · Python

    RRSI (Regularized Recursive Self-Improvement) is a Google research framework that automatically improves an LLM agent's harness (prompts, control flow, tools, memory, context management around a frozen model) by searching over harness edits and keeping only those with measured, auditable gains.

  54. 57

    AISafetyHot-Hub

    1.5Kwuyoscar/AISafetyHot-Hub · TeX

    AI Safety HOT Hub is a daily-updated feed of curated AI safety news and research papers (attacks/jailbreaks, defenses, alignment evals, incidents, multi-agent risks, governance), with Markdown/BibTeX/JSON exports and a public MCP endpoint so an AI agent can query news, papers, events and daily briefings directly.

  55. 58

    cpu-performance-engineering

    1.2Kusamahz/cpu-performance-engineering · Python

    A curated reading path for CPU performance engineering: it walks you from what one instruction does on a modern core to serving ML inference on CPUs, ordered so each piece makes the next one legible.

  56. 59

    Deepgraph

    1.1Kbillion-token-one-task/Deepgraph · Python

    DeepGraph is the autonomous research agent of JouleBeat, an open-source AI self-improvement (RSI) lab. It reads scientific literature, finds open questions, runs real experiments, and lets the results decide what is true.

  57. 60

    APSD

    897hcliucs/APSD

    APSD is a large-scale dataset for studying how visually stealthy adversarial perturbations look to humans, containing 10,586 clean-adversarial image pairs with human opinion scores.

  58. 61

    awesome-rsi

    801lobehub/awesome-rsi

    Awesome RSI is a curated research map of Recursive Self-Improvement (RSI): a taxonomy of papers, frameworks, benchmarks, and safety work on AI systems that improve their own capabilities and the mechanisms that generate further improvements.

  59. 62

    WholebodyVLA

    580OpenDriveLab/WholebodyVLA

    WholeBodyVLA is an ICLR 2026 research project introducing a unified Vision-Language-Action framework for closed-loop humanoid whole-body loco-manipulation control, and this repository doubles as a curated, continuously updated list of VLA papers for humanoid robots.

  60. 63

    sort-research-rs

    546Voultapher/sort-research-rs · Rust

    A test, benchmark and fuzzing suite for sort implementations, written in Rust. It also hosts a novel sort called ipnsort, vendored Rust, C++ and C sorts for comparison, and the resulting research papers.

  61. 64

    Tiersense

    454wangmingxuan666/Tiersense

    TierSense is a hub of three research-backed APIs that give an AI agent decision signals about task difficulty, which history steps are ready to compress, and whether to compress or recall memory right now, so your own app can act on those signals.

  62. 65

    Awesome-Graph-Engineering

    384DEEP-JLU/Awesome-Graph-Engineering

    A curated collection of research papers, benchmarks, and open-source projects accompanying a survey on Graph Engineering for LLM agents, covering the progression from Model Intelligence to Individual Intelligence to System Intelligence.

  63. 66

    awesome-agent-skills-security

    262LLMSecurity/awesome-agent-skills-security

    A curated, awesome-list style collection of research papers, standards, frameworks, and benchmarks about securing AI agent tool use and the emerging 'agent skills' ecosystem — covering attacks like prompt injection and tool poisoning as well as defenses like sandboxing and permission control.

  64. 67

    awesome-rsi

    165theseus-labs-rsi/awesome-rsi

    A curated, taxonomy-first catalog of research on Recursive Self-Improvement (RSI) — AI systems that turn experience and feedback into persistent changes to themselves. It accompanies the survey 'The Last AI Built by Humans' (arXiv:2609.11873).

  65. 68

    timeseries-atlas

    133dreamers-laboratory/timeseries-atlas · Python

    A curated map of modern time-series forecasting architectures, from DLinear to foundation models like Chronos-2, each in its own directory with a short README and, for some, a runnable PyTorch implementation.

  66. 69

    LLMSearchRecommender

    124alopatenko/LLMSearchRecommender

    A curated compendium of research papers, surveys, and industry engineering practices on using Generative AI and LLMs to build search engines, recommender systems, personalization engines, and question-answering systems.

  67. 70

    NSNFSSSFSFN

    105ucsd-hacc/NSNFSSSFSFN · Python

    This repository contains the code accompanying the paper (eprint 2026/2131) implementing a variant of the number field sieve that lets an attacker with temporary access to a raw RSA signing oracle permanently forge signatures or decrypt ciphertexts, without ever factoring the public modulus N.

  68. 71

    object-permanence

    97hokindeng/object-permanence · Python

    This is the official codebase for the paper 'Training Object Permanence in World Models' (arXiv:2609.28654). It bundles a Blender-based data factory that renders videos of objects persisting through occlusion, plus a training stack that teaches this behavior to a world model on AWS Trainium2.

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