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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Making large AI models cheaper, faster and more accessible

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Cross-platform, customizable ML solutions for live and streaming media.

🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Caffe: a fast open framework for deep learning.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

深度学习经典、新论文逐段精读

💫 Industrial-strength Natural Language Processing (NLP) in Python