Data Science
Showing 36 of 506 projects
Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.
A Python meta-library for community detection in complex networks, implementing algorithms, fitness functions, and visualization.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for machine learning.
A JupyterLab extension that adds support for creating notebooks from customizable templates.
A practical demo using LSTM neural networks with TensorFlow to predict lottery numbers.
A curated list of research, applications, tutorials, and software built using the H2O open-source machine learning platform.
A collection of utilities and scripts for interactive data exploration, analysis, and automated modeling within Microsoft's Team Data Science Process.
A high-level machine learning library for Go with a Keras-like API, built on Gorgonia.
A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.
A lightweight Julia toolkit for working with time series data, providing efficient data structures and operations.
A Jupyter kernel that enables interactive computing with the Elixir programming language.
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
A Rust library for creating directed hypergraphs where hyperedges can connect any number of vertices.
A DBI-compliant R interface to PostgreSQL, rewritten in C++ for improved performance and reliability.
An Elixir library for structured data extraction from websites, articles, and RSS/Atom feeds using information-retrieval techniques.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
Automated infrastructure setup tool for training machine learning algorithms on AWS.
A scalable machine learning library that runs on Apache Hive, Spark, and Pig for distributed ML directly in SQL.
An OCaml kernel for Jupyter notebooks, providing an OCaml REPL with markdown/HTML documentation, LaTeX, and image embedding.
A browser extension that adds AI-powered code assistance to Jupyter Notebooks and Jupyter Lab using ChatGPT/GPT-4.
An R data package providing an excerpt from Gapminder's global development data for teaching and examples.
A JupyterLab extension to visualize CSV and JSON data interactively using Voyager 2.
A Node.js library implementing Support Vector Machines (SVM) for classification and regression tasks.
R package containing datasets and code examples for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.
An idiomatic Clojure dataframe library that runs on Apache Spark, providing a seamless interface for data processing and machine learning.
An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.
A Terraform plugin for managing machine learning compute resources across AWS, GCP, Azure, and Kubernetes with spot instance recovery and auto-termination.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
A Jupyter widget for interactive graph visualization using cytoscape.js in notebooks and JupyterLab.
An R package that embeds Julia for high-performance numerical computing, enabling seamless interoperability between R and Julia.
Free online version of the 'Applied Machine Learning Using mlr3 in R' textbook, built with Quarto.
Ruby language bindings for the LIBSVM library, enabling support vector machine (SVM) classification and regression in Ruby.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A Python devkit for loading, exploring, and manipulating the PandaSet, a large-scale autonomous driving dataset with LiDAR, camera, and annotations.
A Swift library providing probability distributions and statistical functions for probabilistic computing.
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