1Comfy-Org / ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
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1–100 of 101 by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
A high-throughput and memory-efficient inference and serving engine for LLMs
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.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
🐍 Geometric Computer Vision Library for Spatial AI
🤗 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 YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
Nano vLLM
GUI for a Vocal Remover that uses Deep Neural Networks.
We write your reusable computer vision tools. 💜
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Stable Diffusion web UI
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.
State-of-the-art 2D and 3D Face Analysis Project
Machine Learning Engineering Open Book
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
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.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
A collaboration friendly studio for NeRFs
Deep Learning for humans
An open source implementation of CLIP.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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.
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
Open standard for machine learning interoperability
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A PyTorch-based Speech Toolkit
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Fast and Accurate ML in 3 Lines of Code
AI Toolkit for Healthcare Imaging
OpenMMLab Detection Toolbox and Benchmark
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A unified, comprehensive and efficient recommendation library
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
deep learning for image processing including classification and object-detection etc.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
OpenMMLab's next-generation platform for general 3D object detection.
Scalable and user friendly neural :brain: forecasting algorithms.
PyTorch Tutorial for Deep Learning Researchers
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 elegant PyTorch deep reinforcement learning library.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Portfolio optimization with deep learning.
A python library for self-supervised learning and latent world models on images.
Image-to-Image Translation in PyTorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
An offline deep reinforcement learning library
Audio processing by using pytorch 1D convolution network
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A simple, fully convolutional model for real-time instance segmentation.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
World's first general purpose 3D object detection codebse.
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Pretrained model hub for Keras 3.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
An open-source NLP research library, built on PyTorch.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Superduper: End-to-end framework for building custom AI applications and agents.
A highly efficient implementation of Gaussian Processes in PyTorch
Fast, flexible and easy to use probabilistic modelling in Python.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Automatic architecture search and hyperparameter optimization for PyTorch
OpenMMLab Foundational Library for Training Deep Learning Models
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
PyTorch to Keras model convertor
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation