Top 1642 data-science open source projects

Deep Learning for humans

📝 An awesome Data Science repository to learn and apply for real world problems.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Koalas: pandas API on Apache Spark

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

All the slides, accompanying code and exercises all stored in this repo. 🎈

Stock for Deep Learning and Machine Learning

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

🍊 📊 💡 Orange: Interactive data analysis

Golang RServe client. Use R from Go

Gender recognition by voice and speech analysis

Real-time sentiment analysis in Python using twitter's streaming api

The data journalism platform with built in training

a delightful machine learning tool that allows you to train, test, and use models without writing code

Quickly download, clean up, and install public datasets into a database management system

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

OpenDS4All project, hosted by LF AI & Data

Python implementation of elastic-net regularized generalized linear models

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Plotly Graphing Library for MATLAB®

Ranking, acceptance rate, deadline, and publication tips

Curated list of Python resources for data science.

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

Analyze Data with Pandas-based Networks. Documentation:

Free Resources For Data Science created by Shubham Kumar

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

NER toolkit for HTML data

Java dataframe and visualization library

Applying Data Science and Machine Learning to Solve Real World Business Problems

Exercise solutions to "R for Data Science"

[tutorial]A functional, Data Science focused introduction to Python

Quantitative finance research tools in Python

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Streamlit — The fastest way to build data apps in Python

R client for the Elasticsearch HTTP API

A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.

Full Stack Data Science in Python

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Support for jupyter notebook templates in jupyterlab

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Materials for GWU DNSC 6279 and DNSC 6290.

CardIO is a library for data science research of heart signals

Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

A web application to explore currently hyped stocks on Reddit

SuperComputing 2017 Deep Learning Tutorial

CARTO Python package for data scientists

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

A fast and lightweight AutoML library.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Source code and data analyses for the Sci-Hub Coverage Study

An intuitive library to extract features from time series