Stars
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
A multi-voice TTS system trained with an emphasis on quality
TensorFlow's Visualization Toolkit
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.
ONNX.js: run ONNX models using JavaScript
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Label Studio is a multi-type data labeling and annotation tool with standardized output format
A PyTorch native library for large-scale model training
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Examples and guides for using the OpenAI API
A very simple Salesforce.com REST API client for Python
Fast and Accurate ML in 3 Lines of Code
Blazingly fast cleaning swear words (and their leetspeak) in strings
Open standard for machine learning interoperability
Robust Speech Recognition via Large-Scale Weak Supervision