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adversarialnetspapers

The classical papers and codes about generative adversarial nets

algorithms_engineer_interview

计算机视觉算法工程师实习生面试总结（微软、阿里、商汤、海康、华为、平安offer）

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

context_encoder_pytorch

PyTorch Implement of Context Encoders: Feature Learning by Inpainting

cs231n.github.io

Public facing notes page

keypatchgan

Unsupervised Holistic Image Generation from Key Local Patches

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medical_image_segmentation

Medical image segmentation

python

Demo and other Python3 code

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, arXiv2018]

pytorch_semantic_segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

residual-dense-network-trained-with-cgan-for-super-resolution

This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.

ssma_pytorch

PyTorch port of SSMA (https://github.com/DeepSceneSeg/SSMA/blob/master/models/SSMA.py)

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

szw2017.github.io

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.