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activator-scalding

An Activator template for the Scalding Big Data API

akka-essentials

algorithmic-machine-learning

Public course material

analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

arrow

Mirror of Apache Arrow

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

avenir

Set of machine learning tools based on Hadoop and Storm https://pkghosh.wordpress.com/

avro-hadoop-starter

Example MapReduce jobs in Java, Hive, Pig, and Hadoop Streaming that work on Avro data.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

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

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awktut

Chapter folders, sample files and sample code for "Effective Awk Programming" by Anthony Robbins (O'Reilly, 2015).

aws-log-utils

cat and tail for AWS CloudWatch Logs

azure_ml

azureml-bert

End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service

beginning-exercises

The exercises we used for our 3rd meeting.

bellarmine_py_intro

Code and materials for Python intro. course

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

berkeleyx-cs190.1x-scalable-machine-learning

This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX

big_data_and_pyspark

This is repo for my notes for Big Data and PySPark

bigdata-masterclass

Files used for Mark Rittman's Part of the RM BI Forum 2015 Big Data Masterclass

bigdata-tutorial-2014

Simple BigData Tutorial with Python 2014

blog-spark-food-recommendation

Simple example on how to use recommenders in Spark / MLlib

brickhouse

Hive UDF's for the data warehouse

building-spark-applications-live-lessons

Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.

catalyst

Accelerated DL R&D

catalyst-codes

clinical-trial-parser

Library for converting clinical trial eligibility criteria to a machine-readable format.