Statistical Analysis
Showing 36 of 44 projects
A command-line tool that provides simple and efficient access to various statistics in git repositories.
A library for probabilistic reasoning and statistical analysis integrated with TensorFlow and JAX.
A Java dataframe and visualization library for data loading, cleaning, transformation, and analysis.
R code examples from the 'Machine Learning for Hackers' book, demonstrating practical machine learning techniques.
An R package for robust anomaly detection in time series and vectors, handling seasonality and trend.
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
An advanced spam filtering system and email processing framework that evaluates messages using regex, statistical analysis, and custom services.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
A PHP benchmarking framework for performance testing, analogous to PHPUnit but for measuring execution time and memory usage.
Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.
A comprehensive Python library for generating and analyzing multi-class confusion matrices with extensive statistical metrics.
The most accurate natural language detection library for Go, excelling with short text and mixed-language content.
Wordlists for statistically likely usernames, optimized for horizontal password attacks and security testing.
A lightweight Python library for anomaly detection and correlation in time series data, enabling root cause analysis.
An open-source Java framework for rapid development of machine learning and statistical applications with large dataset support.
A Java library of stochastic streaming algorithms (sketches) for approximate analysis of massive datasets.
A C++14 library for authoring and executing benchmarks with a GoogleTest-like API, supporting statistical analysis and performance tracking.
A pure Java machine learning library with no external dependencies, offering a wide collection of algorithms and parallel execution support.
An R package for detecting statistically significant breakpoints in time series using robust energy statistics.
An R package that simplifies data import and export by automatically selecting the correct function based on file extension.
Unified ggplot2 interface for visualizing statistical results from popular R packages.
Code and data repository for reproducing examples from 'Evidence-based Software Engineering' book using publicly available data.
A header-only C++ micro-benchmarking framework for statistically rigorous performance measurement of small code snippets.
A modular Python framework for exploratory analysis of heterogeneous epidemiological and electronic health record (EHR) data.
R package containing datasets and code examples for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.
A high-performance, large-scale statistical machine learning library written in Common Lisp.
An end-to-end Python outlier detection system with database support, automated machine learning, and unified APIs for statistical, ML, and deep learning models.
A Node.js library for automated Chrome tracing and statistical analysis to benchmark web performance.
An R package with GUI for computational stylistics and authorship attribution through statistical text analysis.
A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
A .NET library for high-dynamic-range histograms to accurately record and analyze latency and performance measurements.
A tool for data visualization and statistical analysis of threat intelligence indicator feeds to measure their quality and effectiveness.
A scalable high-performance platform for R that enables large-scale machine learning, statistical analysis, and graph processing across clusters.
An R package for visualizing, adjusting, and comparing hierarchical clustering dendrograms.
A Clojure/Java library for streaming, one-pass histograms that approximate data distributions for learning, visualization, and analysis.
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