chenqingya's repositories
autokeras
Accessible AutoML for deep learning.
awesome-image-translation
A collection of awesome resources image-to-image translation.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
bluelog
A blog engine built with Flask.
CoCosNet
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
contextual_loss_pytorch
Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
DeblurGAN
Image Deblurring using Generative Adversarial Networks
DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
EDIT
a novel image-to-image translation method
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FALdetector
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
FUNIT
Translate images to unseen domains in the test time with few example images.
Generative-Deep-Learning-Code-in-Pytorch
The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
helloflask
《Flask Web 开发实战》Meta 仓库
inception-score-pytorch
Inception Score for GANs in Pytorch
instagan
PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)
leetcode
LeetCode Problems' Solutions
MUNIT
Multimodal Unsupervised Image-to-Image Translation
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
SelectionGAN
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
stargan
Official Implementation of StarGAN (CVPR 2018)
tutorials
PyTorch tutorials.
UGATIT-pytorch
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
vision
Datasets, Transforms and Models specific to Computer Vision