leileileileileileilei's repositories
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
practicalAI
📚 A practical approach to machine learning.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
models
Models and examples built with TensorFlow
Python-1
All Algorithms implemented in Python
A-to-Z-Resources-for-Students
Curated list of resources for college students
interpretable-ml-book
Book about interpretable machine learning
ML-NOTE
:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)
All4NLP
All For NLP, especially Chinese.
pyecharts
🎨 Python Echarts Plotting Library
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
lihang-code
《统计学习方法》的代码实现
nlp-competitions-list-review
复盘所有NLP比赛的TOP方案,只关注NLP比赛,持续更新中!
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
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用于记录比赛的网站
jieba
结巴中文分词
Python-100-Days
Python - 100天从新手到大师
NLP_basis
这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码
MachineLearning-1
《机器学习实战》一书源码下载
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
CDCS
Chinese Data Competitions' Solutions
matplotlib-tutorial
Matplotlib tutorial for beginner
Paper-Reading
Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
python_interview_question
关于python的面试题
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
pwc
Papers with code. Sorted by stars. Updated weekly.