Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
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:one: OneWM: Can World and Action Modeling Benefit Each Other under Unified Causal Training?
An autonomous agent that profiles, optimizes, and validates AI training code.
Efficient Mask-Aware Distributed Attention for Long-Context Training
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
中国铁路列车算路器
Simple study repo for tiny GPT-like model training (not a complete, functional model, for education only)
REKI: a 2.4B vision-language-action model pretrained on public data only, with a memory of its recent past at negligible cost.
🤗 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.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
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
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Machine Learning Engineering Open Book
Train transformer language models with reinforcement learning.
The absolute trainer to light up AI agents.
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Ongoing research training transformer models at scale
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.
An open source implementation of CLIP.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
The ultimate training toolkit for finetuning diffusion models
A straightforward method for training your LLM, from downloading data to generating text.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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!
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Build, Manage and Deploy AI/ML Systems
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
👀 Train a 65M-parameter VLM from scratch in just 2h!
slime is an LLM training framework for RL Scaling.
Infrastructure for continually self‑improving agents
Tools for merging pretrained large language models.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
《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
Efficient Triton Kernels for LLM Training
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
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
Chronos: Pretrained Models for Time Series Forecasting
A system for quickly generating training data with weak supervision