DL-ML

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).

My_CODA

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"