Data Science
Showing 36 of 624 projects
An open-source feature store for managing and serving machine learning features for training and online inference.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A collection of Jupyter notebooks with real-world examples for learning Python's pandas data analysis library.
A free, self-taught curriculum for learning bioinformatics using online courses from top universities.
A collection of over 230 pure-Python utilities that extend the standard library with missing functionality.
An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.
A Python scikit for building and analyzing recommender systems that handle explicit rating data.
A practical guide for researchers on how to properly structure and share data with statisticians to ensure efficient analysis.
A collection of teaching materials, code, and data for data analysis and machine learning projects with accompanying blog posts.
An award-winning open-source platform for visualizing and manipulating large graphs and networks.
An open-source platform for visualizing and manipulating large graphs and networks with real-time performance.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A Python tool for parameterizing, executing, and analyzing Jupyter Notebooks at scale.
An open-source, self-hosted ML experiment tracker with a performant UI and SDK for comparing and querying training runs.
A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.
A Python library for programmatically building and managing training data using weak supervision.
Voilà converts Jupyter notebooks into secure, standalone web applications with interactive widgets.
Voilà transforms Jupyter notebooks into secure, standalone web applications with interactive widgets.
A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
A Python library for online machine learning, designed for streaming data with a focus on user experience.
A curated collection of Python tutorials and resources for data science, machine learning, and natural language processing.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
An R package for building interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.
A Python library that automates data visualization and exploration for pandas dataframes in Jupyter notebooks.
Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A Python library that extends pandas to work with geographic data, enabling spatial operations and analysis.
A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.
A Python library providing extensions and utilities for data science and machine learning tasks.
An open-source book teaching data science using R, covering data import, transformation, visualization, and modeling.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
An integrated development environment (IDE) for the R programming language with a comprehensive workbench and server capabilities.
A C++ graphics library for data visualization with interactive plotting, high-quality export, and dozens of plot categories.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
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