Data Science

igel lets users train, test, and use machine learning models without writing code.

IIT Madras offers an online-enabled degree and diploma program in data science and programming.

The Feast repository describes an open source feature store for AI and machine learning projects.

Snorkel helps generate training data programmatically through weak supervision.

Knet provides a deep learning framework developed at Koç University for building models.

JavaScript for Data Science presents educational material about data science topics.

The University of Edinburgh offers a postgraduate MSc program in data science.

Illinois Institute of Technology offers a Master of Applied Science degree in data science.

latamdata-py provides one line access to 38 open research datasets from Latin America.

Deepnote supports collaborative data exploration with Python and SQL and publishes notes about its research.

Build and manage real-life ML, AI, and data science projects with Metaflow.

NCEAS advances ecological and environmental science through research and open data science.

This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.

AI Jobster lists AI and technology job openings, including engineering, artificial intelligence, machine learning, and data science roles.

Desbordante profiles data to find patterns and supports data-cleaning scenarios through console and web application interfaces.

Gradio lets users build and share machine learning applications in Python.

PySyft supports data science on data that remains on another person’s server.

AIDE provides an LLM agent for machine learning engineering, described as a research project referenced by MLE-bench.

The Feast project provides an open source feature store for AI and machine learning.

Syracuse University offers an online and on-campus Master of Applied Data Science program.

Prodmodel supports building, testing, deploying, and iterating on data science pipelines.

Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.

MPDS provides machine-readable inorganic materials data, with search, analysis, visualization, and API access options.

EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.