statistical-models

💫 Models for the spaCy Natural Language Processing (NLP) library

This is a implementation of the 3D FLAME model in PyTorch

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

Applied Econometrics Library for Python

calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution

A library for discrete-time Markov chains analysis.

Implementation of the conjugate prior table for Bayesian Statistics

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

Generalized Additive Models in Python.

An Open-Source, synthetic transtibial residual limb anatomic dataset

A library for Time-Series exploration, analysis & modelling.

Python-first access to R’s brms with proper parameter names, ArviZ support, and cmdstanr performance. The easiest way to run brms models from Python.

Keyphrase Extraction Review

A Bayesian model of series convergence using Gaussian sums

AI-powered max-tree based source detection and parameter extraction software for astronomical image data processing.

Phylogenetic model exploration with deep learning

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Python implementation of STATIS for analysis of several data tables

Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.

Generic goodness of fit tests for random plain old data