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100-days-of-ml-code

100 Days of ML Coding

ai-projects

Artificial Intelligence projects, documentation and code.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

an-introduction-to-statistical-learning

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

awesome-ai-books

Some awesome AI related books and pdfs for learning and downloading

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bigdata

coc_adv_index

Collection list for克苏鲁的呼唤(Call of Cthulhu)

data-analysis

Data Analysis Using Python

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

docker-tutorial

Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

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.

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

learning-apache-spark

Notes on Apache Spark (pyspark)

leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

lifetime_value

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

misc_others

misc_python

ml_codes_exercise

Exercises for machine learning algorithms

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

numpy-ml

Machine learning, in numpy

oucml

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 ;)

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

python-guide

Python best practices guidebook, written for humans.