tdrussell / diffusion-pipe
A pipeline parallel training script for diffusion models.
tdrussell / diffusion-pipe
meta-pytorch / opacus
Training PyTorch models with differential privacy
mlcommons / training
Reference implementations of MLPerf® training benchmarks
slgobinath / safeeyes
Protect your eyes from eye strain using this simple and beautiful, yet extensible break reminder
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.
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.
pnnl / neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
nextstrain / ncov
Nextstrain build for SARS-CoV-2
huggingface / finetrainers
Scalable and memory-optimized training of diffusion models
open-edge-platform / geti
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
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
unitaryai / detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.
nok / sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
NVIDIA-NeMo / Gym
Evaluate and improve models and agents using environments
volotat / mini-AGI
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
sgl-project / SpecForge
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
blackhillsinfosec / WifiForge
WifiForge is a tool developed by Black Hills InfoSec to help train Pentesters on different Wi-Fi attack vectors and Wireless capabilities.
EvolvingLMMs-Lab / LLaVA-OneVision-2
Fully Open Framework for Democratized Multimodal Training
aTrainTranscription / aTrain
A GUI tool for offline transcription of speech recordings, including speaker diarization, utilizing state-of-the-art machine learning models.
openvinotoolkit / nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
sib-swiss / training-collection
Collection of bioinformatics training materials
google-research / morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
tensorflow / neural-structured-learning
Training neural models with structured signals.
keras-team / keras-hub
Pretrained model hub for Keras 3.
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。
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.
nolabs-ai / deepfabric
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
EvolvingLMMs-Lab / lmms-engine
A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.
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.
fluxions-ai / vui
Vui Nano — a small, context-aware text-to-speech model trained on real conversations. 219M active params (305M total), Apache 2.0, voice cloning, streaming, runs on CPU (dependency-free C build). Ships with a full real-time voice assistant: WebRTC, ASR, local LLM, OpenAI Realtime API compatible.
thinking-machines-lab / tinker
Training API and CLI
HKUSTDial / flash-sparse-attention
Trainable fast and memory-efficient sparse attention
hailo-ai / hailo_model_zoo
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
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)
redai-studio / Relax
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
DeckCheatz / wemod-launcher
Tool to launch the Game Trainer / Cheat tool WeMod along with your game made for Linux mainly for steam
ChrisHayduk / minAlphaFold2
A minimal PyTorch re-implementation of AlphaFold2's model & training
pysmt / pysmt
pySMT: A library for SMT formulae manipulation and solving
QJHWC / PaperForge
End-to-end AI-powered academic paper writing system — from idea generation and literature search to experiment execution, result backfill, and LaTeX paper compilation. Supports multi-LLM routing, SSH remote training, incremental sync, and anti-AI-detection writing style.
cursor / mixture-of-kittens
Mixture-of-experts (MoE) training megakernel for NVL72s
popopo-99 / zy-cinematic-realism
Turn simple scene ideas into restrained, physically believable cinematic AIGC prompts.
Lightning-AI / litData
Speed up model training by fixing data loading.
XYZ-AI-Lab / axrl
AxisRL is an agentic RL post-training framework built on SGLang rollout, Megatron training, and real-world agent workflows.
The-Art-of-Hacking / websploit
This is a learning created by Omar Santos (@santosomar) for different Cybersecurity training sessions. It includes many intentionally vulnerable applications running in Docker containers and thousands of cybersecurity resources.
SalesforceAIResearch / MCP-Universe
MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.