Top 1642 data-science open source projects

Support content for my blog

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Feature exploration for supervised learning

📰 Brazilian government gazettes, accessible to everyone.

Learn Julia the hard way!

A python binding for crfsuite

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

Code and other material for the book "Deep Learning and the Game of Go"

(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

An ongoing list of pandas quirks

深度学习在推荐系统中的应用及论文小结。

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automatic extraction of relevant features from time series:

An open source python library for automated feature engineering

📘 The interactive computing suite for you! ✨

A curated list of data science blogs

DataPrep — The easiest way to prepare data in Python

All course materials for the Zero to Mastery Machine Learning and Data Science course.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Example project implementing best practices for PySpark ETL jobs and applications.

Data Science Course in a Box

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

Temporary home for fastai v2 while it's being developed

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

A proofreader for your data

Lazydata: Scalable data dependencies for Python projects

NFStream: a Flexible Network Data Analysis Framework.

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

English and European soccer results 1871-2020

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

ELKI Data Mining Toolkit

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

another book on data science

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Statistical Machine Intelligence & Learning Engine

Read data from, write data to, and modify the formatting of Google Sheets

Easy pipelines for pandas DataFrames.

Unix, R and python tools for genomics and data science

A list of awesome and proven Artificial Intelligence use cases and applications

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

A graph-based functional API for building complex scikit-learn pipelines.

[HELP REQUESTED] Generalized Additive Models in Python

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Reproducible Data Science at Scale!

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Workflows and interfaces for neuroimaging packages

Practical Data Science with Ruby based tools.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

An intro to Python & programming for wanna-be data scientists

VIP cheatsheets for Stanford's CS 230 Deep Learning

Features selector based on the self selected-algorithm, loss function and validation method