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an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

geekbangpython

ggpy

ggplot port for python

hct-nlpbook

《深度学习之自然语言处理实战》相关代码

industry-machine-learning

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

introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

joyful-pandas

Pandas中文教程

learning-nlp

nlp in action

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

matplotlib

matplotlib: plotting with Python

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。

mlbasic

深度学习常用优化方法详解

optimizers.numpy

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

paper-implementation-overview-gradient-descent-optimization-sebastian-ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyecharts

🎨 Python Echarts Plotting Library

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

python

All Algorithms implemented in Python

python-small-examples

告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。

radam

On the Variance of the Adaptive Learning Rate and Beyond

scikit-learn

scikit-learn: machine learning in Python

statsmodels

Statsmodels: statistical modeling and econometrics in Python

swats

Switching from Adam to SGD optimization in PyTorch.