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Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Python package to work with Discrete Choice Models.
A new markup-based typesetting system that is powerful and easy to learn.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
A high-performance implementation of Wilkinson formulas for Python.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
A software for causal probabilistic programming and inference.
Probability and Statistics: a simulation-based introduction. An open-access book.
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Computer Algebra, Physics and Differential Geometry in Clojure.
Statistical Rethinking course and book package
A probablistic programming language for developing scalable machine learning applications
Code for my videos on big data analytics with Apache Spark using Scala.
scorch is a deep learning framework in Scala inspired by PyTorch
A framework for working with python from Mathematica
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Minimal and clean examples of machine learning algorithms implemented in Julia
Surrogate Optimization Toolbox for Python
xray: The R Package to have X Ray vision on your datasets