Bayesian Modeling and Probabilistic Programming in Python
- python
- statistical-analysis
- bayesian-inference
- mcmc
47,133 repositories indexed
1–24 of 29 · Most stars
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Create delightful software with Jupyter Notebooks
Jupyter kernel for the C++ programming language
A general-purpose tool for dynamic report generation in R
Interactive Go programming with Jupyter
Go Language Library for SVG generation
🦄 The Enterprise™ programming language
A functional programming toolkit for R
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
Easy to use .NET library for data and time series manipulation and for scientific programming
Interactive graphing library for .NET programming languages :chart_with_upwards_trend:
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
Yet Another LINQ to Objects for PHP [Simplified BSD]
Encapsulated object-oriented programming for R
A Python toolkit for processing tabular data
Literate Visualization: Theory, software and examples
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
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.
Python game programming in Jupyter notebooks.
Functional programming in R
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy