Xi Yu's repositories
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.
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.
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)