There are 8 repositories under statistical-models topic.
💫 Models for the spaCy Natural Language Processing (NLP) library
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Teaching Materials for Dr. Waleed A. Yousef
Code for modelling estimated deaths and cases for COVID19.
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
This is a implementation of the 3D FLAME model in PyTorch
Generalized linear models in Julia
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.
:bar_chart: Computation and processing of models' parameters
A Julia package for fitting (statistical) mixed-effects models
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
Specifying, fitting, and evaluating statistical models in Julia
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Applied Econometrics Library for Python
Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
A Julia package for estimating ARMA-GARCH models.
A library for discrete-time Markov chains analysis.
Implementation of the conjugate prior table for Bayesian Statistics
Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.
PF: a header only template library for fast particle filtering!
Statistical Models with Regularization in Pure Julia
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)
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.