Topics / #paper

Paper projects on GitHub

Academic papers and research paper study resources

As of , the most-starred Paper projects on GitHub are qlib (49.4K stars), bert (40K stars) and Deep-Learning-Papers-Reading-Roadmap (39.6K stars). GitHub.Locker tracks 85 Paper repositories with 828.2K stars combined. The fastest-growing on October 16 was solo_jev, with +149 stars in a day.

85Projects
828.2KStars in total
+797Stars in a day
Browse in the catalog →github.com/topics/paper ↗

Hot right now

Most stars gained in a day · Oct 16

+149

solo_jev

0814wdwd/solo_jev · ★ 764

SOLO reorders the rows and fields of a dataset so an LLM decision backend with prefix caching can reuse computation across requests, running a natural-language decision over every row while returning results in the original row order.

+111

VisionHOPE

PSRben/VisionHOPE · ★ 1.2K

VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

+96

Tiersense

wangmingxuan666/Tiersense · ★ 310

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.

+87

math

openai/math · ★ 15.1K

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

85 projects · by stars

  1. #1 · microsoft/qlib

    qlib

    Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

    49.4K
  2. #2 · google-research/bert

    bert

    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.

    40K
  3. #3 · floodsung/Deep-Learning-Papers-Reading-Roadmap

    Deep-Learning-Papers-Reading-Roadmap

    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.

    39.6K
  1. 4

    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.

  2. 5

    paper-reading

    34Kmli/paper-reading

    It's a curated reading list for deep learning: each entry is a recorded lecture that walks through a paper paragraph by paragraph, from classics like CLIP and GPT-3 to recent ones like Llama 3.1 and Sora.

  3. 6

    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.

  4. 7

    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.

  5. 8

    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.

  6. 9

    ipfs

    23.1Kipfs/ipfs

    IPFS (InterPlanetary File System) is an open, peer-to-peer system for storing and sharing data without relying on a central server.

  7. 10

    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.).

  8. 11

    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.

  9. 12

    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.

  10. 13

    ChatPaper

    19.9Kkaixindelele/ChatPaper · Python

    ChatPaper uses the ChatGPT API to summarize arXiv papers: give it keywords, it downloads the newest matching papers and condenses each into a fixed format, so researchers can quickly decide which ones deserve a careful read.

  11. 14

    neural-style

    18.3Kjcjohnson/neural-style · Lua

    It is a Torch (Lua) implementation of the Neural Algorithm of Artistic Style paper, which combines the content of one image with the artistic style of another using convolutional neural networks.

  12. 15

    FramePack

    17.3Klllyasviel/FramePack · Python

    FramePack is a next-frame-section prediction neural network for video diffusion, shipped as the official desktop app that turns an image and a short text prompt into a progressively generated video.

  13. 16

    quarkdown

    16.3Kiamgio/quarkdown · Kotlin

    Quarkdown is a Markdown-based typesetting system: you write a single Markdown source and it compiles into a print-ready book, academic paper, knowledge base, website, or interactive presentation.

  14. 17

    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.

  15. 18

    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.

  16. 19

    learning_research

    15.2Kpengsida/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.

  17. 20

    math

    15.1Kopenai/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.

  18. 21

    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.

  19. 22

    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.

  20. 23

    AnimateAnyone

    14.8KHumanAIGC/AnimateAnyone

    Animate Anyone is a research project for character animation: it turns a character image into video, synthesizing consistent and controllable motion.

  21. 24

    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.

  22. 25

    stylegan

    14.4KNVlabs/stylegan · Python

    NVIDIA's official TensorFlow implementation of StyleGAN, a generative adversarial network that synthesizes photorealistic images — most famously 1024x1024 faces of people who don't exist — with intuitive control over attributes like pose and identity.

  23. 26

    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.

  24. 27

    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.

  25. 28

    LoRA

    13.9Kmicrosoft/LoRA · Python

    LoRA (loralib) is Microsoft's reference implementation of the paper 'LoRA: Low-Rank Adaptation of Large Language Models'. It lets you fine-tune large models like GPT-2, RoBERTa and DeBERTa by training small low-rank matrices instead of all the original weights.

  26. 29

    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.

  27. 30

    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.

  28. 31

    Paper

    12.7KPaperMC/Paper · Java

    Paper is the most widely used, high-performance Minecraft server software. Its goal is to fix gameplay and mechanics inconsistencies found in the vanilla server.

  29. 32

    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.

  30. 33

    External-Attention-pytorch

    12.2Kxmu-xiaoma666/External-Attention-pytorch · Python

    A PyTorch collection of Attention, Backbone, MLP, Re-parameter, and Convolution implementations from research papers, meant to help you understand papers by seeing their mechanisms coded up.

  31. 34

    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.

  32. 35

    pix2code

    12Ktonybeltramelli/pix2code · Python

    pix2code is a research project that trains a deep learning model to generate code from a single GUI screenshot, reporting over 77% accuracy for three different target platforms.

  33. 36

    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.

  34. 37

    magic-animate

    10.9Kmagic-research/magic-animate · Python

    This is the official codebase for 'MagicAnimate' (CVPR 2024), a diffusion-model method that animates a reference human image according to a motion sequence to produce temporally consistent video.

  35. 38

    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.

  36. 39

    lama

    10.3Kadvimman/lama · Jupyter Notebook

    LaMa is an AI image inpainting model with its research code: it removes unwanted objects and fills in large missing regions of photos using Fourier convolutions, staying reliable even at high resolutions. It is the official code of a WACV 2022 paper.

  37. 40

    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.

  38. 41

    Supervisor-Skills

    9.8KHKUSTDial/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.

  39. 42

    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.

  40. 43

    sam-3d-objects

    7.5Kfacebookresearch/sam-3d-objects · Python

    SAM 3D Objects is a foundation model from Meta that reconstructs full 3D shape geometry, texture, and object layout from a single 2D image, even in cluttered real-world scenes with occlusion.

  41. 44

    TinyRecursiveModels

    6.6KSamsungSAILMontreal/TinyRecursiveModels · Python

    This is TRM (Tiny Recursive Model), the code behind the paper 'Less is More: Recursive Reasoning with Tiny Networks': a tiny 7M-parameter network that scores 45% on ARC-AGI-1 and 8% on ARC-AGI-2 through recursive reasoning.

  42. 45

    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.

  43. 46

    le-wm

    4.5Klucas-maes/le-wm · Python

    This is the official codebase for LeWorldModel (LeWM), a Joint-Embedding Predictive Architecture (JEPA) that learns a world model directly from pixels using just two loss terms, avoiding the usual tricks like EMA, pretrained encoders, or auxiliary supervision.

  44. 47

    bdh

    3.6Kpathwaycom/bdh · Python

    BDH (Dragon Hatchling) is a biologically inspired large language model architecture that connects deep learning with neuroscience, aiming to explain how reasoning and generalization emerge in AI systems at the level of individual neuron interactions.

  45. 48

    Attention-Residuals

    3.5KMoonshotAI/Attention-Residuals

    AttnRes (Attention Residuals) is a drop-in replacement for standard residual connections in Transformers, letting each layer use learned, input-dependent attention over all previous layer outputs instead of simple additive accumulation.

  46. 49

    MSA

    3.5KEverMind-AI/MSA · Python

    MSA (Memory Sparse Attention) is an end-to-end trainable, scalable latent-memory framework that lets LLMs handle context windows up to 100M tokens, replacing RAG or fixed-size RNN-style memory with a differentiable sparse-attention memory bank.

  47. 50

    paper

    3Kcordiverse/paper

    This is an academic preprint (arXiv:2608.25512 [cs.PL]) that proposes a formal programming paradigm called the 'context paradigm' for building software that can dynamically add, remove, and interleave components (like plugins or self-evolving agent harnesses) without breaking each other.

  48. 51

    NavierStokesAndEuler

    2.1Kopenai/NavierStokesAndEuler · Lean

    This repository contains Lean 4 formalizations (machine-checked formal proofs) of two OpenAI papers: 'Finite time blowup for Navier-Stokes' and 'Finite time blowup for the Euler equation'.

  49. 52

    gpgpu-sim_distribution

    1.8Kgpgpu-sim/gpgpu-sim_distribution · C++

    GPGPU-Sim is a cycle-level simulator that models contemporary NVIDIA GPUs running CUDA or OpenCL workloads, letting researchers study GPU microarchitecture without real hardware. It also bundles a visualization tool (AerialVision) and a power model (AccelWattch).

  50. 53

    VisionHOPE

    1.2KPSRben/VisionHOPE · Python

    VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

  51. 54

    marigold-v2

    913huawei-bayerlab/marigold-v2 · Python

    Marigold V2 is a family of models and a cost-effective fine-tuning protocol that repurposes a pretrained diffusion transformer into single-step dense predictors: depth, see-through depth, surface normals, albedo, and other dense modalities.

  52. 55

    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.

  53. 56

    XRAG

    807DocAILab/XRAG · Python

    XRAG is a benchmarking framework that dissects and evaluates the foundational components of Retrieval-Augmented Generation (RAG) systems, such as retrievers, embeddings, and LLMs, to show how different configurations affect overall RAG performance.

  54. 57

    RSI-Anything

    774Gen-Verse/RSI-Anything · HTML

    RSI-Anything is a domain-general framework that turns world-model predictions and interaction feedback into recursive self-improvement, built on JEPA-Anything.

  55. 58

    awesome-rsi

    766lobehub/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.

  56. 59

    solo_jev

    7640814wdwd/solo_jev · Python

    SOLO reorders the rows and fields of a dataset so an LLM decision backend with prefix caching can reuse computation across requests, running a natural-language decision over every row while returning results in the original row order.

  57. 60

    GVS5H

    750slee-persis/GVS5H · Python

    GVS5H is the code and experiment data for a research paper introducing 'ledger-based zero-shot self-orchestration': fresh instances of one model decompose a coding problem and coordinate through a shared filesystem holding a plan, notes and the current solution, letting several cheap open models match or approach the accuracy of a much larger proprietary model.

  58. 61

    context-language-models

    730facebookresearch/context-language-models · Python

    This is the official code release for 'Context Language Models (CLMs)', research from University of Washington, Meta Superintelligence Labs, MIT and Trillium Labs. CLMs are language models that natively manage their own context by treating it as a file they can freely edit, which naturally extends to multi-agent setups where each agent's context is its own file.

  59. 62

    Motus2

    685shengshu-ai/Motus2

    Motus2 is a self-evolving general world model for dexterous robot manipulation. A single model with shared weights acts as a policy, a simulator, and an evaluator, coupling them into a closed decision-and-learning loop so the system can perceive, predict, act, and improve itself.

  60. 63

    ParseBench

    602run-llama/ParseBench · Python

    ParseBench is a benchmark that measures how well document parsing tools (OCR engines, VLMs, commercial parsing APIs) convert PDFs into structured output that AI agents can reliably act on, rather than just text that looks similar to the original.

  61. 64

    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.

  62. 65

    Zero-WAM

    434robbyant-research/Zero-WAM · Python

    Zero-WAM is a research method for zero-shot cross-task robotic manipulation: a causal video-action policy that learns in-context world-action modeling, predicting future robot observations and executable actions from either language instructions or human demonstration videos.

  63. 66

    Code-as-World

    419MirroS-Lab/Code-as-World · Python

    Code-as-World is a research project that represents the physical world as executable code, discovered through an agentic loop of simulation and verification, so models get reusable physical data (states, dynamics, mechanisms) instead of just raw pixels.

  64. 67

    nnUNet_att_position_correction

    354qpuchen/nnUNet_att_position_correction · Python

    This is the official PyTorch code for the MICCAI 2023 STS Challenge (3D tooth segmentation from CBCT scans) by team sdkxd, which extends nn-UNet with axial attention and a positional correction module to clean up abnormal segmentation points.

  65. 68

    WorldSculpt

    342AlayaLab/WorldSculpt · Python

    WorldSculpt is the official implementation of a research method that turns grounded video into 3D scenes: from RGB images with instance masks and 3D boxes it builds a compositional mesh of very complex scenes with hundreds of individual objects.

  66. 69

    Tiersense

    310wangmingxuan666/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.

  67. 70

    From-Calibrated-Confidence-to-Calibrated-Reliance

    304OliverDOU776/From-Calibrated-Confidence-to-Calibrated-Reliance · Python

    Companion code for an accepted ACM TSC paper: it implements the Reliance Calibration Error (RCE) metric, the g0-g3 confidence-display policies, and a reproducible CPU-only analysis of how well human-AI teams calibrate on displayed confidence.

  68. 71

    RoboICL

    268Mosi-AI/RoboICL · Python

    RoboICL is a research framework that lets a frozen, general-purpose vision-language model (GPT-6 Astra) control a robot in simulation purely through in-context learning, without training a dedicated robot policy.

  69. 72

    wuji-ego-mint

    258wuji-technology/wuji-ego-mint · Python

    MINT is a unified deep learning model that takes ordinary egocentric RGB video and directly predicts world-space camera motion and two-hand (MANO) motion, replacing the usual calibration + depth + SLAM + hand-reconstruction pipeline with a single pass.

  70. 73

    video-prediction-policy-2

    257roboterax/video-prediction-policy-2 · Python

    Video Prediction Policy 2 (VPP2) is a world-action model (WAM) for robot manipulation that predicts future video frames and converts them into robot actions, with strong zero-shot generalization across tasks.

  71. 74

    fix-anything

    245kvuong2711/fix-anything · Python

    A research tool from an ECCV 2026 paper: a video diffusion model fine-tuned to repair rendering artifacts from any 3D representation — 3DGS, NeRF, meshes, or sparse point clouds. The repo holds the inference code.

  72. 75

    pointdit

    233google-research/pointdit · Python

    PointDiT is a research codebase for a minimalist pixel-space Diffusion Transformer that estimates 3D geometry (point maps) from a single monocular image.

  73. 76

    academic-figures-drawer

    219M1n-n9/academic-figures-drawer · Python

    Academic Figures Drawer turns a paper, method description, codebase, or visual reference into a clear, editable, camera-ready academic figure, aimed at ML/AI papers for venues like ICML, NeurIPS, and ICLR.

  74. 77

    Mira-Scene

    210VAST-AI-Research/Mira-Scene · Python

    Mira-Scene is a pipeline that reconstructs an editable 3D scene from a single image, combining interactive instance segmentation, depth estimation, canonical coordinate and voxel prediction, object mesh generation, scene assembly, and environment-map generation.

  75. 78

    Embodied-AI-Start

    199ppsdk/Embodied-AI-Start

    A Chinese-language 'Embodied AI Starter Map' that organizes a learning path from robotics fundamentals (coordinates, kinematics, ROS 2) up to VLA policies, World Models, model-based RL and World Action Models (WAM), linking papers, code, benchmarks and practice guides at each step.

  76. 79

    dsh-explore

    177antinomie-lab/dsh-explore · Vue

    This is a documentation repository collecting interpretive articles about Cordis and DeepSeek Harness, an emerging 'harness' architecture, plus a reading site for browsing those articles.

  77. 80

    OraRL

    166HVision-NKU/OraRL · Python

    OraRL is a reinforcement learning framework that treats annotations as rollouts to efficiently train unified video multimodal LLMs (MLLMs) across seven video task families.

  78. 81

    cumcm-c-problem-lfs

    148liufanshan11/cumcm-c-problem-lfs · TeX

    A skill for AI agents that handles Problem C of CUMCM, China's national undergraduate math-modeling contest: a full modeling-and-paper production workflow distilled from 2018–2025 official C-problem papers, expert commentary and grading standards.

  79. 82

    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.

  80. 83

    DASHR

    131tomforsyth1000/DASHR · HTML

    DASHR is a real-time rendering technique and demo for dynamically animated, skinned heightfields — letting height-based surfaces like snow, sand or terrain deform and move realistically. It's by veteran graphics programmer Tom Forsyth and ships as a paper plus a Windows/DirectX demo.

  81. 84

    NSNFSSSFSFN

    103ucsd-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.

  82. 85

    KISS-Knowledge-Infrastructure-for-Scientific-Simulation

    40lzwei196/KISS-Knowledge-Infrastructure-for-Scientific-Simulation · Python

    KISS is a Knowledge Infrastructure (KI) framework that packages the operational expertise behind running scientific simulation models — how to prepare inputs, judge whether results are physically plausible, and recover from failures — so AI coding agents can run these models reliably, not just know their equations.

Often tagged together