zar's repositories
pytorch-ssim
pytorch structural similarity (SSIM) loss
Causally-Regularized-Learning
A method which takes advantage of causal features for classification
CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
Crowd-Counting-Using-Pytorch
Pytorch based Crowd-Counting model to estimate the number of people in crowdy areas such as Stadium, Music festival etc.
CSRNet-pytorch
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
leetcode-1
leetcode code
leetcode-on-tag
tag sorted
MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
MeanTeacher-SNTG-HybridNet
This is the Pytorch Re-Implementation of three Semi Supervised Classification method on Cifar-100 Dataset using ConvLarge Architecture
Mixup_for_UDA
Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
PRML
PRML algorithms implemented in Python
probabilistic-models
Collection of probabilistic models and inference algorithms
pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
sampyl
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Stable_Linear_Model_Learning
The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"