lylinux23 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

201605

data structures and algorithm analysis

airbnb

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-public-datasets

A topic-centric list of HQ open datasets.

bda_py_demos

Bayesian Data Analysis demos for Python

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

coder-kung-fu

开发内功修炼

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science-notes

数据科学的笔记以及资料搜集

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

eat_pyspark_in_10_days

pyspark is delicious🍒🥭，just eat it😋😋

etl-with-airflow

ETL best practices with airflow, with examples

faviovazquez_ds-cheatsheets

List of Data Science Cheatsheets to rule the world

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

intro_ds

Code to accompany Mastering Data Science from PT press

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

joyful-pandas

Pandas中文教程

learn-regex

Learn regex the easy way

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

lihang-code

《统计学习方法》的代码实现

littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

lylinux23

Config files for my GitHub profile.

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

ml-training-camp