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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

data-structure-coding

适合于编程零基础小白【数据结构与算法】代码详细剖析。

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

feature-engineering-handbook

A practical feature engineering handbook

imooc-notes

:books:imooc-notes | 慕课网【Python 高效编程技巧实战】【Python3 实用编程技巧进阶】笔记

java

☕️Java👫面向对象📝编程题💾数据库☎️常用框架📖系统设计💪工具📚参考资料

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lightgbm-doc-zh

LightGBM 中文文档

particle-swarm-optimization-with-python

Learn about particle swarm optimization (PSO) through Python!

pwc

Papers with code. Sorted by stars. Updated weekly.

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recommendsystempractice

《推荐系统实践》代码实现

study

team-learning-program

主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。

team-learning-rs

主要存储Datawhale组队学习中“推荐系统”方向的资料。

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials