977 Open source projects that are alternatives of or similar to Scalable Data Science

Email clustering with machine learning

This is an example of real time stream processing using Spark Streaming, Kafka & Elasticsearch.

Tutorials and training material for the H2O Machine Learning Platform

Learn advanced data science on real-life, curated problems

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

A Julia machine learning framework

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

A list of conferences connected with data worldwide.

Keras community contributions

A collection of notebooks of my Machine Learning class written in python 3

A jupyter notebook that provides analysis for StarCraft 2 replays

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Building the Coffee Quality Institute Database

A List of Data Science/Machine Learning Resources (Mostly Free)

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

Open solution to the Santander Value Prediction Challenge 🐠

This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

GitHub Action for repo2docker

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Readings in applied data science

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Financial Web Scraper & Sentiment Classifier

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Material for the SciPy 2017 Cython tutorial

Easy CPU Profiling for Apache Spark applications

A framework for writing Spark 2.x applications in a pretty way

Documentation and samples for ArcGIS API for Python

Apache Spark on AWS Lambda

brief introduction to Python for machine learning

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

ML.NET Workshop to predict car sales prices

Machine Learning in R

Monthly Series - Machine Learning Top 10 Open Source Projects

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Curated set of transformers that make your work with steppy faster and more effective 🔭

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Association Rule Mining from Spatial Data for Crime Analysis

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

Plot live-stats as graph from ApacheSpark application using Lightning-viz

repo for code published on pythondata.com

Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.

Templates for jupyter notebooks

A Lean Persistent Homology Library for Python

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

Single-Cell Analysis in Python. Scales to >1M cells.

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

List of Machine Learning & Data Science Conferences

Data Science

🔥🐻 The Speakeasy Scripting Engine Which Combines Speed, Safety, and Simplicity

MRI analysis using PyTorch and MedicalTorch

Best Practices on Recommendation Systems

Multi-class confusion matrix library in Python

Deep Learning Toolkit for Medical Image Analysis

STUMPY is a powerful and scalable Python library for modern time series analysis

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

A blog for data analytics using data science technologies