Stars
An Open Source Machine Learning Framework for Everyone
AI on the way. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
Streamlit — A faster way to build and share data apps.
🤗 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.
A web-based tool to view, edit, format, and validate JSON
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
Machine vision toolbox for Python
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
A WebGL accelerated JavaScript library for training and deploying ML models.
💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
Models and examples built with TensorFlow
Bayesian optimization in PyTorch
A game theoretic approach to explain the output of any machine learning model.
The new Windows Terminal and the original Windows console host, all in the same place!
This repository contains implementations and illustrative code to accompany DeepMind publications
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The interactive graphing library for Python ✨