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Topic · statistics

statistics

Tracked open-source repos tagged statistics, sorted by stars.

160 repos
  • Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    758+0Star change over the last 7 days
  • Stylish design, versatile features – the ultimate calculator for Android.

    740+3Star change over the last 7 days
  • glass-isc-dhcp@Akkadius

    Glass - ISC DHCP Server Interface

    731-1Star change over the last 7 days
  • Peroxide@Axect

    Rust numeric library with high performance and friendly syntax

    725+1Star change over the last 7 days
  • edward2@google

    A simple probabilistic programming language.

    712+0Star change over the last 7 days
  • collapse@fastverse

    Advanced and Fast Data Transformation in R

    705+0Star change over the last 7 days
  • rpy2@rpy2

    Interface to use R from Python

    704+1Star change over the last 7 days
  • A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

    701+0Star change over the last 7 days
  • ML-CaPsule@Niketkumardheeryan

    ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

    682+1Star change over the last 7 days
  • meteostat@meteostat

    Access and analyze historical weather and climate data with Python.

    664+2Star change over the last 7 days
  • GSTools@GeoStat-Framework

    GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

    652+1Star change over the last 7 days
  • KDEpy@tommyod

    Kernel Density Estimation in Python

    647+1Star change over the last 7 days
  • sjPlot@strengejacke

    sjPlot - Data Visualization for Statistics in Social Science

    646+0Star change over the last 7 days
  • wallace-cli@projectwallace

    Pretty CSS analytics on the CLI

    643+1Star change over the last 7 days
  • pytensor@pymc-devs

    PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

    641+2Star change over the last 7 days
  • GLM.jl@JuliaStats

    Generalized linear models in Julia

    636+0Star change over the last 7 days
  • asdfree@ajdamico

    analyze survey data for free

    625+0Star change over the last 7 days
  • Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

    622+0Star change over the last 7 days
  • ps4ds@cfgranda

    Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

    620+5Star change over the last 7 days
  • StatsBase.jl@JuliaStats

    Basic statistics for Julia

    612+0Star change over the last 7 days
  • GeoStats.jl@JuliaEarth

    An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

    591+0Star change over the last 7 days
  • pg_stat_monitor@percona

    Query Performance Monitoring Tool for PostgreSQL

    589+1Star change over the last 7 days
  • GeostatsPy@GeostatsGuy

    GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

    580+0Star change over the last 7 days
  • A curated list of data science educational resources for essential data science skills

    574+0Star change over the last 7 days
  • ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

    572+3Star change over the last 7 days
  • sportsipy@roclark

    A free sports API written for python

    570+1Star change over the last 7 days
  • DNS-collector@dmachard

    Grab your DNS logs, detect anomalies, and finally understand what's happening on your network. The missing piece between DNS servers and your data stack.

    566+2Star change over the last 7 days
  • Compendium of free ML reading resources

    565+2Star change over the last 7 days
  • tick@X-DataInitiative

    Module for statistical learning, with a particular emphasis on time-dependent modelling

    556+3Star change over the last 7 days
  • Online R learning for applied statistics

    554+0Star change over the last 7 days
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