Data Science
Showing 36 of 624 projects
Course materials for UCLA's STATS 418 - Tools in Data Science covering R packages, machine learning libraries, databases, and reproducibility tools.
A Python library for interacting with QuPath, providing a pythonic interface to manage and analyze digital pathology projects.
A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.
A machine learning library for Clojure built on top of Weka, providing filters, classifiers, regression, and clustering algorithms.
A Swift library for numerical computing with numpy-like APIs and Jupyter-like playground notebooks.
A GitHub template for automating machine learning workflows on Azure using GitHub Actions.
A Python library that brings Chart.js interactive charts to Jupyter notebooks with a familiar API.
Example code and materials demonstrating practical applications of SAS machine learning techniques.
Example code and materials demonstrating practical applications of SAS machine learning techniques.
A PHP framework for building complex recommendation engines on top of Neo4j graph databases.
A Python library implementing fairness-aware machine learning algorithms for measuring and mitigating discrimination in predictive models.
An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.
A declarative data-flow programming framework built on Zenoh for building applications that span from cloud to edge devices.
A Ruby interface to XGBoost, providing high-performance gradient boosting for machine learning tasks.
A Julia library providing a consistent API for common machine learning algorithms, designed for practitioners working with in-memory datasets.
A collection of scripts for training random forests and sparse filtering models on Kaggle datasets.
A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.
Bayesian inference tools in Python for estimating Dirichlet priors and multinomial mixture models from discrete event data.
A Python feature engineering engine that internally manages past dependent values for continuous calculation of time-based features.
A lightweight, extensible web-based notebook REPL for Clojure and ClojureScript with rich UI visualizations.
A Python toolbox for analyzing multiplexed imaging data, featuring segmentation, pixel/cell clustering, and spatial analysis.
A Ruby interface to the GNU Scientific Library (GSL) for numerical computing.
A dashboard for real-time tracking and 72-hour forecasting of US electricity demand using open-source tools.
A Clojure wrapper for Deeplearning4j, providing idiomatic access to neural networks, data import, and distributed training.
A TensorBoard JupyterLab plugin that integrates TensorBoard directly into JupyterLab with improved user experience and long-term maintenance.
A high-level Python toolbox for topic modeling with easy-to-use functions and command-line interface.
An R package providing an interface to InfluxDB for fetching, writing, and managing time series data.
Archived R package for accessing the Monkeylearn API for text classification and extraction.
A Python framework for generating synthetic log events without requiring actual infrastructure or actions.
An open-source framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using OpenStreetMap data.
A daily blog sharing practical Quarto tips for 30 days leading up to the rstudio::conf(2022) keynote.
A pre-configured Docker image with deep learning frameworks, data science tools, and GPU support for rapid environment setup.
A Ruby gem providing high-performance gradient boosting with LightGBM for machine learning tasks.
Ruby interface to LIBLINEAR for machine learning classification and regression tasks using SWIG bindings.
A CLI tool that transforms Go benchmark output into interactive 4D visualizations for performance analysis.
A small machine learning library written in Clojure providing simple, concise implementations of ML algorithms.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.