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aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

arrow

Mirror of Apache Arrow

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

caching

Source code from my microservices caching session at NFJS

calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

cloudnative-abundantsunshine

Repo for Cloud Native book

cmake-tutorial

CMake tutorial: beamer presentation and sample code

cnc_remastered_collection

code-snippets

Small Google Cloud Platform examples and code snippets.

code_quizzer

Programming practice questions with Ruby, JavaScript, Rails, and Bash.

data-science-essentials

Course files for the Microsoft data Science Essentials Course

ddt

Data-Driven Tests for Python Unittest

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

devilution

Diablo devolved - magic behind the 1996 computer game

dl-text

Text pre-processing library for deep learning (Keras, tensorflow).

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

dogecoin

very currency

dremio-oss

Dremio - the missing link in modern data

easyai

Python artificial intelligence framework for games

edittransducer

Python implementation of Levenshtein distance and Levenshtein automata matching

elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

forestblog

一个简单漂亮的SSM(Spring+SpringMVC+Mybatis)博客系统

handson-ml

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

hello_mkdocs

hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

incubator-airflow

Apache Airflow (Incubating)

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

infer

A static analyzer for Java, C, C++, and Objective-C