Showing 36 of 243 projects
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.
An R package for building interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
A Python library that automates data visualization and exploration for pandas dataframes in Jupyter notebooks.
An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.
A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A Python library providing extensions and utilities for data science and machine learning tasks.
Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.
A Python library that extends pandas to work with geographic data, enabling spatial operations and analysis.
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 collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A library for probabilistic reasoning and statistical analysis integrated with TensorFlow and JAX.
A curated list of awesome open-source data visualization libraries, frameworks, and resources across multiple programming languages.
A curated list of awesome open-source data visualization libraries, frameworks, and resources across multiple programming languages.
A curated list of awesome open-source data visualization libraries, frameworks, and resources across multiple programming languages.
A framework for building interactive web applications directly from Python notebooks, including chats, AI agents, dashboards, and reports.
A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.
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