a-li-peng's repositories
interpret
Fit interpretable models. Explain blackbox machine learning.
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
toad
ESC Team's scorecard tools
learn-regex
Learn regex the easy way
Data-Science-Notes
数据科学的笔记以及资料搜集
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
CS224n-2019
Stanford cs224n 2019 homework
machine-learning-course
:speech_balloon: Machine Learning Course with Python
Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata, lihang]
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
lihang-code
《统计学习方法》的代码实现
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据。
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
Survival_Analysis
Survival Analysis with non-parametric, semi-parametric, and parametric models
reportgen
reportgen is a Python library for creating and updating analysis report.
hands_on_Ml_with_Sklearn_and_TF
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
OpenNE
An Open-Source Package for Network Embedding (NE)
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Item2vec_Tutorial_with_Recommender_System_Application
Item2vec_tutorial_git
PRIM
Patient Rule Induction Method (PRIM) for Python
MachineLearning
Machine Learning in Action（机器学习实战）
pu-learning
Positive and unlabeled learning wrappers for scikit-learn
credit-risk-modelling
Credit-Risk Modelling Libraries
DataSciencePython
common data analysis and machine learning tasks using python
notes-python
中文 Python 笔记