misayan Goto Github PK

-filter-feature-selection

过滤式特征选择 Filter feature selection：mutual information、chisquare、fisher score

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cec2005

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

gitignore

A collection of useful .gitignore templates

google-interview-university

A complete daily plan for studying to become a Google software engineer :)

interview

Interview questions

lecture-notes-of-python

Some lecture notes of Python which were built by Jupyter Notebook.

leetcode

lstm

基于LSTM的时间序列预测研究

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

magic-python

Python 黑魔法手册

mathmodel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

nlp

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

optimization-methods

Some stupid code.

pso

粒子群优化算法

pytorch-tutorial

Build your neural network easy and fast

relieff

Implementations of the Relief family of feature selection algorithms.

spark

Apache Spark

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorlearn

tutorials

机器学习相关教程

xjtuthesis

使用 LaTeX 排版学位论文！适用于西安交通大学学生