Stars
Collection of Slides for David Silver's Reinforcement Learning Course on Youtube
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Hands-On Computer Vision with TensorFlow 2, published by Packt
Google Research
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
An end-to-end PyTorch framework for image and video classification
PyTorch implementations of deep reinforcement learning algorithms and environments
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
A PyTorch Library for Accelerating 3D Deep Learning Research
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Seam Carving for Content Aware Image Resizing
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A collection of resources to study Transformers in depth.
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Deep Hough Voting for 3D Object Detection in Point Clouds
Official PyTorch Implementation of SAGPool - ICML 2019
Submanifold sparse convolutional networks
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Synthesizing and manipulating 2048x1024 images with conditional GANs
A comprehensive collection of recent papers on graph deep learning
An ultra-simplified explanation to design patterns
Long-Term Feature Banks for Detailed Video Understanding
A mix of GAN implementations including progressive growing
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset