47,133 repositories indexed
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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Statsmodels: statistical modeling and econometrics in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Statistical Machine Intelligence & Learning Engine
A library for visualization and creative-coding
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Math.NET Numerics
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.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Owl - OCaml Scientific Computing @ https://ocaml.xyz
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Break the linear presentation of Jupyter Notebooks with sticky cells!
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
Swift library like numpy, playgrounds notebook like jupyter.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V