Bayesian Modeling and Probabilistic Programming in Python
- python
- statistical-analysis
- bayesian-inference
- mcmc
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Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Scalable and user friendly neural :brain: forecasting algorithms.
Fast, flexible and easy to use probabilistic modelling in Python.
Python Toolkit for Causal and Probabilistic Reasoning
Beautiful, open source, WebGPU-based charting library
Large list of handpicked color names 🌈
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
The Python ensemble sampling toolkit for affine-invariant MCMC
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Algorithm is a library of tools that is used to create intelligent applications.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
A Toolbox for Non-Tabular Data Manipulation
Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Social Determinants of Health Visualization
Minimalistic statistics library for Clojure
Collection of danish base wordlists for cracking danish passwords (Hashcat, John the Ripper etc.)
A simple author handler for scientific writing