yuxi120407

DIB

Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021

semi-supervised_tensorflow2.0

This is an Tensorflow implementation of semi-supervised learning with the following methods: Pseudo-label, Pi_model, VAT, mean_teacher, Mixup, ICT and Mixmatch.

INSURE

code of "INSURE: an Information theory iNspired diSentanglement and pURification modEl for domain generalization" in IEEE TIP

Communication-oriented-Autoencoders---where-Shannon-meets-Wiener

the python codes of paper "Communication-oriented Autoencoders - where Shannon meets Wiener"

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-weakly-supervised-segmentation

Bayesain-Neural-Network

Complex-CNN-PhaseRetrival

DCR-consistency

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

introRL

Intro to Reinforcement Learning (强化学习纲要）

koopmanAE

Consistent Koopman Autoencoders

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

LeetCode-Solutions

:octocat: (Weekly Update) Python / Modern C++ Solutions of All 1885 LeetCode Problems

MulimgViewer

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

Multi-View-Information-Bottleneck

Implementation of Multi-View Information Bottleneck

open_clip

An open source implementation of CLIP.

Phaser

BCDI phase retrieval module written in Python 3.x. GPU implementation done using Tensorflow 2.1, with an older library available that uses Tensorflow 1.x.

PyRKHSstats

A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

PyTV-4D

Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)

realistic-ssl-evaluation-pytorch

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

RuihongQiu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

SegLoss

A collection of loss functions for medical image segmentation

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)