ZeitgeistQIAN

mixmatch

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

awesome-deep-learning-papers

The most cited deep learning papers

Awesome-Sketch-Based-Applications

:books: A collection of sketch based application papers.

bolt

Bolt is a deep learning toolbox with high performance and heterogeneous flexibility.

CNNDetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

CVPR2020-Code

CVPR 2020 论文开源项目合集

CVPR2020-Paper-Code-Interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

DaST

A novel data-free model stealing method based on GAN

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

DeOldify

A Deep Learning based project for colorizing and restoring old images (and video!)

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

ghostnet

Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

google-research

Google Research

Lines2Face

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

msg-stylegan-tf

MSG StyleGAN in tensorflow

Neural-Style-Transfer-Papers

:pencil2: Neural Style Transfer: A Review

nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

pose-animator

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

ResNeSt

ResNeSt: Split-Attention Network

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

UGATIT-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

UpConv

Repo for our CVPR Paper: Watch your Up-Convolution: CNN Based Generative Deep Neural Networks areFailing to Reproduce Spectral Distributions

WCT2

Software that can perform photorealistic style transfer without the need of any post-processing steps.

ylg

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".