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diffusion-data-constraint. Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion models are significantly more data-efficient than standard left to right autoregressive models, due to their ability to learn from different token orderings.
★ 127OldCare. Python
★ 5NewsCMS_spring. Java
★ 1JustGRPO. [ICML 2026 Outstanding Paper] Minimalist RL for Diffusion LLMs. 89.1% on GSM8K.
★ 209lingbot-va. [RSS 2026] Causal video-action world model for generalist robot control
★ 1.5kmira. Code for MIRA: Multiplayer Interactive World Models with Representation Autoencoders
★ 349FastWAM. Official codebase for Fast-WAM: Do World Action Models Need Test-time Future Imagination?
★ 1.1kopal-bridge. Cross-agent session translator (Claude Code <-> Codex CLI)
★ 84andrej-karpathy-skills. A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
★ 191krobocasa. RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
★ 1.5kOpenMythos. A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
★ 15kflm. Official Codebase For paper "One-step Language Modeling via Continuous Denoising"
★ 155Sim2Reason. Sim2Reason: Solving Physics Olympiad via Reinforcement Learning on Physics Simulators. We present a method for turning physics simulators into scalable generators of question–answer pairs for improving LLM physical reasoning.
★ 169Awesome-Latent-Space. A paper list of Awesome Latent Space.
★ 924skills. Public repository for Agent Skills
★ 160knepa. PyTorch implementation of NEPA
★ 337Making-rFID-Predictive-of-Diffusion-gFID. Predicting the generation FID of latent diffusion, with a variant of reconstruction FID of Variational Auto-encoder.
★ 83openclaw. Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
★ 383kcalm. Official implementation of "Continuous Autoregressive Language Models"
★ 809BFM-Zero. BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
★ 670OLMo-core. PyTorch building blocks for the OLMo ecosystem
★ 1.4kgated_attention. The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
★ 968diffusion-data-constraint. Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion models are significantly more data-efficient than standard left to right autoregressive models, due to their ability to learn from different token orderings.
★ 127JiT. PyTorch implementation of JiT https://arxiv.org/abs/2511.13720
★ 2.4kdLLM-RL. [ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.
★ 511dllm. dLLM: Simple Diffusion Language Modeling
★ 2.6kopen-thoughts. Fully open data curation for reasoning models
★ 2.3kdiffusion-gpt. From baby GPT to diffusion GPT: An annotated implementation of a character-level discrete diffusion model (adapted from Karpathy’s baby GPT).
★ 258RLP. [ICLR 2026] Official PyTorch Implementation of RLP: Reinforcement as a Pretraining Objective
★ 252EBT. PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
★ 638llm-liar. HTML
★ 13AI-Scientist-v2. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
★ 6.8kAI-Scientist. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
★ 14kAI-Scientist-ICLR2025-Workshop-Experiment. Python
★ 302mle-bench. MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
★ 1.6kmem0. Universal memory layer for AI Agents
★ 61kQwen-Image. Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
★ 8.1kdinov3. Reference PyTorch implementation and models for DINOv3
★ 11kmirage. Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
★ 2.4khappy-llm. 📚 从零开始构建大模型
★ 32klimit-of-RLVR. repo for paper https://arxiv.org/abs/2504.13837
★ 345Spurious_Rewards. Python
★ 361verl. verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
★ 22kDiffuLLaMA. [ICLR2025] DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models
★ 399shit.
★ 4kchain-of-thought-hub. Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
★ 2.8kImproved-3D-Diffusion-Policy. [IROS 2025] Generalizable Humanoid Manipulation with 3D Diffusion Policies. Part 1: Train & Deploy of iDP3
★ 547open-r1. Fully open reproduction of DeepSeek-R1
★ 26kLLaDA. Official PyTorch implementation for "Large Language Diffusion Models"
★ 3.9kRADD. Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR 2025)
★ 83any4lerobot. 🎁 A collection of utilities for LeRobot.
★ 1.1kCFG-Zero-star. Official repo for CFG-Zero*
★ 706MV-Adapter. [ICCV 2025] Official impl. of "MV-Adapter: Multi-view Consistent Image Generation Made Easy"
★ 1.3k3D-Diffusion-Policy. [RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
★ 1.4kPerturb-and-Revise. Official implementation of the paper "Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories" (CVPR`25)
★ 15Awesome-ScalingLaws. A curated list of awesome resources dedicated to Scaling Laws for LLMs
★ 84zotero-pdf-translate. Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
★ 11kzotero-better-notes. Everything about note management. All in Zotero.
★ 8krepulsive-shells. C++
★ 88awesome-nerf-editing. 🧙🏻♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.
★ 499uv. An extremely fast Python package and project manager, written in Rust.
★ 87komniphysgs. [ICLR 2025] OmniPhysGS: 3D Constitutive Gaussians for General Physics-based Dynamics Generation
★ 124Image-Generation-CoT. [CVPR 2025] The First Investigation of CoT Reasoning (RL, TTS, Reflection) in Image Generation
★ 865LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
★ 25kGolden-Noise-for-Diffusion-Models. [ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".
★ 195Awesome-Image-Editing. A Survey of Image Editing
★ 470awesome-llm-interpretability. A curated list of Large Language Model (LLM) Interpretability resources.
★ 1.6kLIBERO. Benchmarking Knowledge Transfer in Lifelong Robot Learning
★ 2kCFGpp. Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models" (ICLR2025)
★ 243phd-cs-us. A open-source guide that demystifies how U.S. universities evaluate and admit students into Computer Science PhD programs.
★ 313mdlm. [NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
★ 699openpi. Python
★ 13klm-evaluation-harness. A framework for few-shot evaluation of language models.
★ 13kllama-cookbook. Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
★ 18klmms-eval. One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
★ 4.3kSAELens. Training Sparse Autoencoders on Language Models
★ 1.5kml-depth-pro. Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
★ 5.6kTRELLIS. Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
★ 13kdiffae. Official implementation of Diffusion Autoencoders
★ 968robotics-toolbox-python. Robotics Toolbox for Python
★ 3.2kpuma560_description. ROS package for PUMA560 urdf model
★ 14DataSciencePsychNeuro. Repository for the Data Science for Psychology and Neuroscience course at CMU (Vargas/Verstynen)
★ 59taming-transformers. Taming Transformers for High-Resolution Image Synthesis
★ 6.5kvqvae. A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
★ 897conditional-flow-matching. TorchCFM: a Conditional Flow Matching library
★ 2.5kScaMo_code. Python
★ 95muse-maskgit-pytorch. Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
★ 919MUSE. A library for Multilingual Unsupervised or Supervised word Embeddings
★ 3.2kmaskgit. Official Jax Implementation of MaskGIT
★ 562SMDM. Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"
★ 383datablations. Scaling Data-Constrained Language Models
★ 344FlowEdit. Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"
★ 1kRectified-Diffusion. [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need
★ 251CrossFlow. [CVPR2025] PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution'
★ 342score_sde_pytorch. PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
★ 2.1kscore_sde. Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
★ 1.8kpix2pix. Image-to-image translation with conditional adversarial nets
★ 11kOmniEdit. Official Repo for Paper "OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision" [ICLR2025]
★ 144HQ-Edit. [ICLR 2025] HQ-Edit: A High-Quality and High-Coverage Dataset for General Image Editing
★ 113Cosmos-Tokenizer. A suite of image and video neural tokenizers
★ 1.7kflow_matching. A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
★ 4.6kstochastic-interpolants. Jupyter Notebook
★ 217mnist-dits. Diffusion Transformers (DiTs) trained on MNIST dataset
★ 180