💫 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

A library for discrete-time Markov chains analysis.

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

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.

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

Generalized Additive Models in Python.

Keyphrase Extraction Review

A Bayesian model of series convergence using Gaussian sums

Python implementation of STATIS for analysis of several data tables

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

Generic goodness of fit tests for random plain old data

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.

An Open-Source, synthetic transtibial residual limb anatomic dataset

Machine learning & deep learning implementation from scratch, depending only on numpy.

Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

scikit-learn wrapper for generalized linear mixed model methods in R