1.Comfy-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.
Ranked by Attention Score: stars gained over the last 90 complete days
1–100 of 140 by Attention Score · Aug 5, 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
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
🤗 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
We write your reusable computer vision tools. 💜
Stable Diffusion web UI
Nano vLLM
GUI for a Vocal Remover that uses Deep Neural Networks.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Machine Learning Engineering Open Book
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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.
State-of-the-art 2D and 3D Face Analysis Project
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.
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
🧑🏫 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, ... 🧠
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🐍 Geometric Computer Vision Library for Spatial AI
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Open standard for machine learning interoperability
Clone a voice in 5 seconds to generate arbitrary speech in real-time
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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。
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
Deep Learning for humans
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
A collaboration friendly studio for NeRFs
AI Toolkit for Healthcare Imaging
Fast and Accurate ML in 3 Lines of Code
OpenMMLab Detection Toolbox and Benchmark
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
An open source implementation of CLIP.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A PyTorch-based Speech Toolkit
Graph Neural Network Library for PyTorch
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
deep learning for image processing including classification and object-detection etc.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
An elegant PyTorch deep reinforcement learning library.
PyTorch Tutorial for Deep Learning Researchers
pix2tex: Using a ViT to convert images of equations into LaTeX code.
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.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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.
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.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Image-to-Image Translation in PyTorch
A unified, comprehensive and efficient recommendation library
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Scalable and user friendly neural :brain: forecasting algorithms.
OpenMMLab's next-generation platform for general 3D object detection.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Bringing Old Photo Back to Life (CVPR 2020 oral)
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Deep universal probabilistic programming with Python and PyTorch
A PyTorch Library for Accelerating 3D Deep Learning Research
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Data manipulation and transformation for audio signal processing, powered by PyTorch
A python library for self-supervised learning and latent world models on images.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
SoftVC VITS Singing Voice Conversion
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.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Superduper: End-to-end framework for building custom AI applications and agents.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A highly efficient implementation of Gaussian Processes in PyTorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Portfolio optimization with deep learning.
OpenMMLab Foundational Library for Training Deep Learning Models
Large Language Model Text Generation Inference
Convert Machine Learning Code Between Frameworks
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.
A simple, fully convolutional model for real-time instance segmentation.
A toolkit for reproducible reinforcement learning research.
An offline deep reinforcement learning library
Pretrained model hub for Keras 3.