Data Analysis
Showing 36 of 376 projects
A tiny Go library for linear interpolation with O(log(N)) evaluation and a fast O(1) uniform-spacing special case.
Universal 1D/2D data containers with sklearn-compatible transformers for heterogeneous tabular data analysis.
An interactive image processing program for biologists written in Python.
A machine learning project that predicts wine quality using R and MATLAB scripts with PCA visualization.
Example notebooks for analyzing web archives using the Archives Unleashed Toolkit.
A statistics library for the D programming language, balancing performance and ease of use.
A workflow engine that unifies feature engineering and machine learning using a column-oriented data processing paradigm.
A community-driven platform for analyzing Israel Railways train delay data using Python and PostgreSQL.
An iOS library implementing multi-layer perceptron neural networks with backpropagation for machine learning tasks.
Convert statistical analysis objects from R into tidy tibble format for easier manipulation and visualization.
A Ruby library providing Generalized Linear Models (GLM) including Poisson, Logistic, Probit, and Normal regression.
A Java scientific computing library providing SciPy-like signal processing, FFT, filtering, and analysis for JVM and Android applications.
A fast spatial deconvolution tool for transcriptomics data that scales to million-spot datasets while preserving rare cell type signals.
A D3.js plugin for creating customizable box-and-whisker plots with statistical calculations.
A book demonstrating how to perform table data operations using PRQL and DuckDB.
A Java library providing a unified API for mining data from multiple version control systems and issue trackers.
A Go library providing comprehensive statistical functions for machine learning and data analysis.
A DuckDB extension to query web archive CDX APIs (Wayback Machine & Common Crawl) directly from SQL with smart query pushdown.
Workshop materials for teaching R programming to social scientists, covering data analysis and visualization fundamentals.
An R package for importing, analyzing, and visualizing single-particle tracking data from TrackMate XML outputs.
A MicroPython implementation of Python's statistics module for data analysis on microcontrollers.
A visualization tool for analyzing bus delays and performance metrics from GTFS-RT real-time transit feeds.
An R package that imports COBOL CopyBook data files directly into R as structured data frames.
A Vue 3 pivot table component for summarizing, transforming, and visualizing large datasets with an interactive UI.
Code for Kaggle's Accelerometer Biometric Competition, featuring scripts for data analysis and baseline predictions.
A collection of pre-compiled LCModel binaries for Windows, macOS, and Linux to analyze magnetic resonance spectroscopy data.
Python bindings for Mosaic, enabling interactive data visualizations in Dash and Streamlit applications.
A Julia toolkit for robust multidimensional profiling of high-content cellular imaging data.
Crystal language wrapper for the FFTW 3 library, enabling high-performance Fourier transforms.
Elixir implementation of the ROCK clustering algorithm for categorical data.
A Go package implementing the Bradley-Terry model for pairwise comparison analysis.
A research framework for neutrino physics simulations and data analysis.
A Cloud Foundry buildpack for deploying R applications to the cloud platform.
An Elixir library for computing simple descriptive statistics like sum, mean, and median.
Text and supporting code for Think Stats, 2nd Edition, a practical introduction to statistics for programmers.
A tool that downloads and validates multiple GTFS-realtime transit feeds to calculate quality metrics and generate summary statistics.
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