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Starred repositories
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Command-line program to download videos from YouTube.com and other video sites
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenMMLab Detection Toolbox and Benchmark
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Deezer source separation library including pretrained models.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Graph Neural Network Library for PyTorch
Magenta: Music and Art Generation with Machine Intelligence
A Deep Learning based project for colorizing and restoring old images (and video!)
Avatars for Zoom, Skype and other video-conferencing apps.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
StyleGAN - Official TensorFlow Implementation
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

