xuchen86's repositories
animegan2-pytorch
PyTorch implementation of AnimeGANv2
Awesome-Deep-Camera-Calibration
Deep Learning for Camera Calibration: A Survey
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-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
bayesian-deep-learning
Unofficial code for papers on Bayesian deep learning like MCMC, VAE, Bayes by Backprop etc.
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
bnn_priors
Code for the paper "Bayesian Neural Network Priors Revisited"
CARes-UNet
CARes-UNet: Content-Aware Residual UNet for Lesion Segmentation of COVID-19 from Chest CT Images
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Hierarchical-Bayesian-Defense
Official PyTorch Implementation for Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
multitask-seg-depth
Multi Task Learning for Semantic Segmentation, Instance Segmentation and Depth Estimation
pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
RPNODE_FSS
Improving Adversarial Robustness for Few Shot Segmentation with Regularized Neural-ODEs
VesselSeg-Pytorch
Retinal vessel segmentation toolkit based on pytorch