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amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

amazon-sagemaker-examples

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

aresdb

A GPU-powered real-time analytics storage and query engine.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-cassandra

awesome cassandra resources

awesome-data-engineering

A curated list of data engineering tools for software developers

awesome-etl

A curated list of awesome ETL frameworks, libraries, and software.

awesome-hbase

A curated list of awesome HBase projects and resources.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-postgres

A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql

awesome-python

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

awesome-scala

A community driven list of useful Scala libraries, frameworks and software.

awesome-spark

A curated list of awesome Apache Spark packages and resources.

boto3

AWS SDK for Python

chalice

Python Serverless Microframework for AWS

dask

Parallel computing with task scheduling

data-science-books

data-science-cheatsheet

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

hello-world

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

io19

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine-learning-yearning

Translation of <Machine Learning Yearning> by Andrew NG

machine_learning_basics

Plain python implementations of basic machine learning algorithms

models

Models built with TensorFlow

postgresql-dba-tools

This repository contains a number of UNIX scripts, and PostgreSQL queries. The author, Melvin Davidson, originally distributed them on the pgsql-general mailing list and has allowed me to create this repository for them. These scripts and queries are donated "as is" and are not guaranteed in any way.