The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.
Local AI BGM and sound effects for Claude Code and any MCP client. Stable Audio 3 on Apple Silicon (MLX) and Windows NVIDIA GPUs (PyTorch). No cloud, no API key.
Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheapโstrong cascade, ECE/Brier calibration, SystemOne protocol interop. Apache-2.0.
[CVPR 2026 Highlight] Official PyTorch implementation of MacTok, a masked 1D continuous image tokenizer that compresses images into just 64 or 128 tokens.
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
๐ค 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Deep Learning for humans
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 โ object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. ๐
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
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
๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
You like pytorch? You like micrograd? You love tinygrad! โค๏ธ
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
State-of-the-art 2D and 3D Face Analysis Project
GUI for a Vocal Remover that uses Deep Neural Networks.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Graph Neural Network Library for PyTorch
๐ค The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
๐ค PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Open standard for machine learning interoperability
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
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Datasets, Transforms and Models specific to Computer Vision
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
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.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open source implementation of CLIP.
Convert Machine Learning Code Between Frameworks
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
A PyTorch-based Speech Toolkit
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
๐ Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
Fast and Accurate ML in 3 Lines of Code
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Translate manga/image ไธ้ฎ็ฟป่ฏๅ็ฑปๅพ็ๅ ๆๅญ https://cotrans.touhou.ai/ (no longer working)
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
Perform data science on data that remains in someone else's server
End-to-End Speech Processing Toolkit
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
๐ 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
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop โ all through one unified, production-ready inference API.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
PyTorch tutorials.