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"

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Deep-Learning-for-Block-Level-Compressive-Video-Sensing

Reference codes for our ISCAS 2020 paper, "Deep Learning for Block-Level Compressive Video Sensing"

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A2N

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

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AutoencoderCompression

Learned Image Compression Using Autoencoder Architecture

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AutoGAN

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

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cae

Compressive Autoencoder.

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coen281-wi21

Class repo for COEN 281, Winter 2021

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CompressAI

A PyTorch library and evaluation platform for end-to-end compression research

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Cuttlefish_Low_Rank

The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"

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DenoiseCompression

[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising

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Hands-On-Computer-Vision-with-TensorFlow-2

Hands-On Computer Vision with TensorFlow 2, published by Packt

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high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

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lossy-vae

Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs

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Medical-Transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

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MMD

Drift Detection for your PyTorch Models

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NECPlus

NECPlus

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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pytorch-fid

Compute FID scores with PyTorch.

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QmapCompression

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

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STF

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

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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

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TransGAN

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

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VisualTransformers

A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"

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ylg

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

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