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66days__naturallanguageprocessing

I am sharing my Journey of 66DaysofData in Natural Language Processing.

ai-learning-roadmap

Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。

ai-nlp-paper-readings

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

aiinterview

算法工程师面试题整理

algo

101+ coding interview problems with detailed solutions, test cases, and program analysis

algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

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。

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

awesome-deeplearning-500faq

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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

awesome-network-embedding

A curated list of network embedding techniques.

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

awesome-recommender-systems

A curated list of awesome resources about Recommender Systems.

awesome-resume

包含简历常用例句

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

awesomecpp

---AWESOME--- C++学习笔记和常见面试知识点，C++11特性，包括多态、虚表、移动语义、友元函数、符号重载、完美转发、智能指针、const和static、数组指针和指针数组、struct内存对齐、enum和union关键字等等

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

burst-denoising

campus_recruitmen_questions

2021年最新整理，5000道秋招/提前批/春招/常用面试题（含答案），包括leetcode，校招笔试题，面试题，算法题，语法题。持续更新中

ccdr

coding_interviews

《剑指Offer》题目汇总&常考题总结(Python实现)

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

ctr_algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

cv_interview

I hope this repo can help you a lot!

datasets-for-recommender-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial