NVlabs / ProtoMotions

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

xbpeng / MimicKit

A lightweight suite of motion imitation methods for training controllers.

dstackai / dstack

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

Tencent / MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

aws / sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

ByteDance-Seed / VeOmni

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

ahmedfgad / GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

sapientinc / HRM-Text

HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.

PrimeIntellect-ai / prime-rl

Agentic RL Training at Scale

cfregly / ai-performance-engineering

Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.

tensorflow / privacy

Library for training machine learning models with privacy for training data

tdrussell / diffusion-pipe

A pipeline parallel training script for diffusion models.

meta-pytorch / opacus

Training PyTorch models with differential privacy

mlcommons / training

Reference implementations of MLPerf® training benchmarks

bespokelabsai / curator

Synthetic data curation for post-training and structured data extraction

facebookresearch / multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

TokenRhythm / NeoHorse

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.

meta-pytorch / tnt

A lightweight library for PyTorch training tools and utilities

lightly-ai / lightly-train

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

AgentR1 / Agent-R1

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning

intelligent-machine-learning / dlrover

DLRover: An Automatic Distributed Deep Learning System

yoshitomo-matsubara / torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

ray-r-ren / agent-apprenticeship

The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.

ZFTurbo / Music-Source-Separation-Training

Repository for training models for music source separation.

tensorflow / model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

decoderesearch / SAELens

Training Sparse Autoencoders on Language Models

Topdu / OpenOCR

OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers.

Lightning-AI / lightning-thunder

PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.

scraed / LanPaint

High quality training free inpaint for every stable diffusion model. Supports ComfyUI

nokia-applied-research / AnyJev

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

huggingface / finetrainers

Scalable and memory-optimized training of diffusion models

uxlfoundation / scikit-learn-intelex

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

mapillary / inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

verl-project / verl-omni

Multimodal RL training framework for diffusion & omni models

NVIDIA-NeMo / Gym

Evaluate and improve models and agents using environments

inclusionAI / AWorld

Search, understand, reproduce, and improve an idea with ease

sgl-project / SpecForge

Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

EvolvingLMMs-Lab / LLaVA-OneVision-2

Fully Open Framework for Democratized Multimodal Training

openvinotoolkit / nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

sib-swiss / training-collection

Collection of bioinformatics training materials

OpenWAM-Official / OpenWAM

Official repository for "OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining".

NVIDIA-NeMo / Automodel

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

tensorflow / neural-structured-learning

Training neural models with structured signals.

tingaicompass / AI-Compass

“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向，无论你是初学者还是进阶开发者，都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势，并通过实践掌握从理论到落地的全过程。

NVIDIA-NeMo / Megatron-Bridge

Training library for Megatron-based models with bidirectional Hugging Face conversion capability

SandAI-org / MagiAttention

A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training

AgileRL / AgileRL

The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.

worldbench / DiffusionOPSD

🔥 On-Policy Self-Distillation in Diffusion Models

EvolvingLMMs-Lab / lmms-engine

A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.

Purewhiter / mobilegym

[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training

whitecircle / halo

Halo is an open-source framework built by White Circle for training large language and multimodal models

SWE-bench / SWE-smith

[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents

google / grain

Library for reading and processing ML training data.

Junchao-cs / SolarWM

Open data and scalable training for long-horizon video world models.

thinking-machines-lab / tinker

Training API and CLI

baidu-baige / LoongForge

A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.

MeiGen-AI / OPSD-V

On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators

xmarre / ComfyUI-Spectrum-MiniMax-H3

Training-free Spectrum acceleration for ComfyUI’s native MiniMax H3 audio-video model. Uses Chebyshev ridge feature forecasting to skip selected H3 transformer evaluations, with adaptive scheduling, sampler-aware support for Euler, ER-SDE, RES, SEEDS and SA-Solver, CPU/VRAM history storage, and fail-closed native fallbacks.

verl-project / uni-agent

Uni-Agent is a framework for training long-horizon agents.

sunrainyg / RandOpt

Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)