Top 1642 data-science open source projects

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

A New, Interactive Approach to Learning Python

Labs for the Foundations of Applied Mathematics curriculum.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A Portfolio of my Data Science Projects

Home assignments for data science positions

🌎 machine learning tutorials (mainly in Python3)

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

Python Top 45 Articles of 2017

EvalML is an AutoML library written in python.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Julia port of the Python autograd package.

Pandas and Spark DataFrame comparison for humans

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing

The "Python Machine Learning (1st edition)" book code repository and info resource

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Research Software Engineering with Python course material

Time Series Cross-Validation -- an extension for scikit-learn

Tutorial Sessions for SciPy Con 2019

Developer Cheatsheets

An easy-to-use interface for measuring uncertainty and robustness.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

An efficient Python implementation of the Apriori algorithm.

A repo for data science related questions and answers

Machine learning fundamentals lesson in interactive notebooks

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

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

🍰 doddle-model: machine learning in Scala.

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.

Building the Coffee Quality Institute Database

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Data augmentation for NLP

Python Cheat Sheet NumPy, Matplotlib

A Lean Persistent Homology Library for Python

IPython widgets, interactive plots, interactive machine learning

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

Complete-Life-Cycle-of-a-Data-Science-Project

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

A blog for data analytics using data science technologies

A toolbox for processing and analysing air traffic data

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

YouTube Like Count Predictions using Machine Learning

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

SF Brigade's Data Science Working Group.

Machine learning contest - October 2016 TLE

A validation library for Pandas data frames using user-friendly schemas

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

ML made simple

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains