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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal-recommender-systems

An index of causal inference based recommendation algorithms.

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

domainbed

DomainBed is a suite to test domain generalization algorithms

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

gnn-in-rs

pytorch-transformer

Attention is all you need implementation

recdebiasing

This repository collects debiasing methods for recommendation

rspapers

A Curated List of Must-read Papers on Recommender System.

spark

Apache Spark - A unified analytics engine for large-scale data processing

stable0909

Config files for my GitHub profile.

top-conference-paper-list

A collection of classified and organized top conference paper list.