Top 1642 data-science open source projects

A list of Twitter datasets and related resources.

Ways of doing Data Science Engineering and Machine Learning in R and Python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

An open-source plotting library for statistical data.

Rumale is a machine learning library in Ruby

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

The 3rd edition of course.fast.ai

Easy-to-use data analysis / manipulation framework for humans

Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

Linked Data Visualizations Across Multiple Files

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

A set of useful tools for competitive data science.

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

📈 Curated list of resources to help you get started with Data Science

A system for quickly generating training data with weak supervision

A curated list of awesome R packages, frameworks and software.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Introducing neural networks to predict stock prices

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Framework for setting up predictive analytics services

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

A Swiss-Army Knife for Data I/O

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

mlr3: Machine Learning in R - next generation

Companion code for the book "Mastering Social Media Mining with Python"

Efficient Learning of Augmentation Policy Schedules

A simplified framework and utilities for PyTorch

GoPlus - The Go+ language for engineering, STEM education, and data science

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A curated list of references for MLOps

🕵 Artificial Intelligence for social control of public administration

common data analysis and machine learning tasks using python

Quiz & Assignment of Coursera

High-performance Vision library in Python. Scale your research, not boilerplate.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

food image to recipe with deep convolutional neural networks.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Curso de Introducción a Machine Learning con Python

🚀 Build and manage real-life data science projects with ease!

Teaching Materials for Dr. Waleed A. Yousef

Building Convolutional Neural Networks From Scratch using NumPy

Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.

Python module for machine learning time series:

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

¡Camino a una educación autodidacta en Ciencia de Datos!

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

H2O.ai Machine Learning Interpretability Resources

A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

Data science interview questions and answers

R package of data and code behind the stories and interactives at FiveThirtyEight