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cornell-moe

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

f3dasm

Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)

gitskills

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

learngit

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

markdown-photos

for the convenience of editing markdown

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

prmlt

Matlab code of machine learning algorithms in book PRML

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-100-days

Python - 100天从新手到大师

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) 遗传、粒子群、模拟退火、蚁群算法等

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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