liuyisen-bin / transformer-sru-lys
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
liuyisen-bin / transformer-sru-lys
Interactive-Active-AI / OneWM
:one: OneWM: Can World and Action Modeling Benefit Each Other under Unified Causal Training?
AI4AI-for-Anything / ResearchBoost-Agent
An autonomous agent that profiles, optimizes, and validates AI training code.
PaddlePaddle / FlashMask
Efficient Mask-Aware Distributed Attention for Long-Context Training
MachEmbodied / ScaleNav
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
akitaonrails / microgpt
Simple study repo for tiny GPT-like model training (not a complete, functional model, for education only)
huggingface / transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
deepspeedai / DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
hpcaitech / ColossalAI
Making large AI models cheaper, faster and more accessible
huggingface / pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
verl-project / verl
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
microsoft / unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
modelscope / FunASR
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
stas00 / ml-engineering
Machine Learning Engineering Open Book
NVIDIA / Megatron-LM
Ongoing research training transformer models at scale
BlinkDL / RWKV-LM
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
ShishirPatil / gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
ostris / ai-toolkit
The ultimate training toolkit for finetuning diffusion models
FareedKhan-dev / train-llm-from-scratch
A straightforward method for training your LLM, from downloading data to generating text.
ludwig-ai / ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
OpenPipe / ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
skypilot-org / skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
ultralytics / yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Netflix / metaflow
Build, Manage and Deploy AI/ML Systems
NVIDIA / apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
THUDM / slime
slime is an LLM training framework for RL Scaling.
Human-Agent-Society / reef
Infrastructure for continually self‑improving agents
datajuicer / data-juicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
bojieli / ai-infra-book
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
linkedin / Liger-Kernel
Efficient Triton Kernels for LLM Training
shy3130 / tick-stock-panel
TSP自托管、零运维的 A 股「自建策略 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源
Akegarasu / lora-scripts
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
snorkel-team / snorkel
A system for quickly generating training data with weak supervision
rllm-org / rllm
Democratizing Reinforcement Learning for LLMs
pytorch / torchtitan
A PyTorch native platform for training generative AI models
InternLM / xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
h2oai / h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
pytorch / ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
hao-ai-lab / FastVideo
A unified inference and post-training framework for accelerated video generation.
SwanHubX / SwanLab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
thinking-machines-lab / tinker-cookbook
Post-training with Tinker
allenai / open-instruct
AllenAI's post-training codebase
NVIDIA / TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
huggingface / optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
PaddlePaddle / PARL
A high-performance distributed training framework for Reinforcement Learning
NVIDIA / physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
llm-as-a-verifier / llm-as-a-verifier
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Nerogar / OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
radixark / miles
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
OpenDCAI / DataFlex
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
pytorch / ao
PyTorch native quantization for training and inference
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
huggingface / nanotron
Minimalistic large language model 3D-parallelism training
huggingface / OpenEnv
An interface library for RL post training with environments.
intel / neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
TianyuCodings / NanoJev
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
sanderland / katrain
Improve your Baduk skills by training with KataGo!
google / tunix
A Lightweight LLM Post-Training Library
pollen-robotics / microduck_rl
RL training environments for Microduck (mjlab)