《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Image-to-Image Translation in PyTorch

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Code and hyperparameters for the paper "Generative Adversarial Networks"

Semantic Segmentation Architectures Implemented in PyTorch

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Dete…

Lightweight C/C++ Extended Kalman Filter with Python for prototyping

A PyTorch implementation of the architecture of Mask RCNN

A Tensorflow implementation of Spatial Transformer Networks.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

DeepLab resnet v2 model in pytorch

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Code to accompany ICML 2018 paper

Tools for manipulating 3D meshes within the Menpo project.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Realtime Semantic Segmentation for Mobile Platforms based on Tensorflow's Deeblap Model

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

Tensorflow implementation of paper "Recurrent Models of Visual Attention"

11-411 NLP Project: Wikipedia Article Q&A System

Assignment 1 for 10-703 Deep Reinforcement Learning and Control - CMU