Yifei Pei's repositories
Class-specific-Neural-Network-for-Video-Compressed-Sensing
Reference codes for our ISCAS 2021 paper, "Class-specific neural network for video compressed sensing"
Deep-Learning-for-Block-Level-Compressive-Video-Sensing
Reference codes for our ISCAS 2020 paper, "Deep Learning for Block-Level Compressive Video Sensing"
A2N
PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
AutoencoderCompression
Learned Image Compression Using Autoencoder Architecture
AutoGAN
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
cae
Compressive Autoencoder.
coen281-wi21
Class repo for COEN 281, Winter 2021
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
Cuttlefish_Low_Rank
The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
DenoiseCompression
[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising
Hands-On-Computer-Vision-with-TensorFlow-2
Hands-On Computer Vision with TensorFlow 2, published by Packt
high-fidelity-generative-compression
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
lossy-vae
Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs
Medical-Transformer
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
MMD
Drift Detection for your PyTorch Models
NECPlus
NECPlus
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
pytorch-fid
Compute FID scores with PyTorch.
QmapCompression
Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
STF
Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".
transferlearning-MMD-using-Numpy-and-Sklearn-
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TransGAN
[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
VisualTransformers
A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"
ylg
[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".