There are 509 repositories under statistics topic.
scikit-learn: machine learning in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Your new Mentor for Data Science E-Learning.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
📊 A highly interactive data-driven visualization grammar for statistical charts.
Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Create HTML profiling reports from pandas DataFrame objects
Statsmodels: statistical modeling and econometrics in Python
🍀 Local git statistics including GitHub-like contributions calendars.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Statistical Machine Intelligence & Learning Engine
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A Python based monitoring and tracking tool for Plex Media Server.
Machine learning, computer vision, statistics and general scientific computing for .NET
Probabilistic reasoning and statistical analysis in TensorFlow
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Curated list of Python resources for data science.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Open Source Feature Flagging and A/B Testing Platform
Java dataframe and visualization library
A Laravel package to retrieve pageviews and other data from Google Analytics
Statistics-driven benchmarking library for Rust
A well tested and comprehensive Golang statistics library package with no dependencies.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Statistical and Algorithmic Investing Strategies for Everyone