Data Science
Showing 36 of 625 projects
A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.
A curated collection of extensions, guides, blogs, and resources for Qlik Sense and QlikView developers.
A small machine learning library written in Clojure providing simple, concise implementations of ML algorithms.
R package providing classes and methods for handling and analyzing spatio-temporal data.
A Go port of LIBSVM 3.14, providing support vector machine (SVM) algorithms for classification and regression.
A collection of Dev Container Features for adding Rocker Project and R-related functionality to development containers.
An R package for statistical modeling of dynamic network data using actor-oriented and tie-based relational event models.
A comprehensive Python client library and toolkit for working with Neo4j graph databases.
A Python package for generating multidimensional synthetic data using Copula and fPCA models to preserve statistical properties.
A collection of quantitative trading research experiments exploring uncommon strategies and techniques through Jupyter notebooks.
A collection of Jupyter notebooks for analyzing Common Crawl web archive data using columnar indexes and webgraph datasets.
Feature generation code for the Kaggle Acquire Valued Shoppers Challenge, focusing on customer behavior prediction.
An open-source solution for the Airbus Ship Detection Challenge, providing a benchmark and base for ship detection in satellite imagery.
A JRuby gem providing Ruby interfaces for Weka's machine learning and data mining algorithms.
A Jupyter widget that integrates the powerful ag-Grid data grid into Jupyter notebooks for interactive data exploration.
A JavaScript library implementing logistic regression and C4.5 decision tree algorithms for machine learning in the browser and Node.js.
A Python library using NLP and AI to help psychologists and social scientists harmonize questionnaire items across different languages and formats.
An Elixir library providing a DataFrame API similar to Python's Pandas and R's data.frame for data manipulation.
Jupyter notebooks for hands-on Big Data Analytics exercise classes covering Spark ML, Map/Reduce algorithms, and deep learning.
An easy-to-use Python feature store for machine learning, optimized for timeseries data and built on Dask.
A full-featured GraphQL server implementation for R, enabling GraphQL schemas, queries, and servers within R applications.
A build system for data science pipelines that caches dependencies and versions outputs for performance and reproducibility.
Rust bindings for LightGBM, enabling gradient boosting for machine learning tasks in Rust.
F# library providing type providers for Twitter and SAS data access APIs.
A next-generation data analysis library for Go, offering parallel processing, data visualization, and seamless Python integration as an alternative to Pandas.
Common Lisp CFFI wrapper around the DuckDB C API
A Common Lisp library that enables calling Python code and libraries directly from Lisp programs.
A JupyterLab extension for managing and customizing keyboard shortcuts via a graphical interface.
A feature engineering wrapper for scikit-learn that uses genetic programming to find optimal feature transformations for machine learning models.
A Ruby gem providing probability distributions with pure Ruby, C (GSL), and Java implementations for statistical computing.
Clojure bindings for the BigML.io API, enabling machine learning tasks and pipelines from Clojure code.
A lightning talk demonstrating how to use Apache Arrow with dplyr for efficient data manipulation in R.
A lightweight, header-only C++11 deep neural network library designed for embedded systems with minimal dependencies.
A comprehensive learning repository covering basic to advanced data visualization techniques and implementations.
A Node.js interface for running XGBoost models and making predictions.
A JavaScript implementation of the k-nearest neighbors algorithm for supervised machine learning.
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