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cmu-taclass

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

git

gitmerge

lihang-code

《统计学习方法》的代码实现

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machine-learning-session

machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

machinelearningnotes

My personal notes

ml_notes

机器学习算法的公式推导以及numpy实现

ml_project

project code files

ml_project_boyu_wang

ml_project_boyuwang

paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.（180+ models including CV, NLP, Audio and Video with Easy Inference & Serving deployment)

playml

prml

PRML algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python_tutorials

materials for the python tutorial lecture

seaborn-data

Data repository for seaborn examples

semantic-segmentation-guide

A Theory and Practical Guide to Deep Learning Semantic Segmentation

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法