statistical-modeling 开源项目推荐（487 个）

bambinos /bambi

BAyesian Model-Building Interface (Bambi) in Python.

yrosseel /lavaan

结构方程建模等R软件包

stan-dev /rstanarm

rstanarm R package for Bayesian applied regression modeling

ecmerkle /blavaan

An R package for Bayesian structural equation modeling

Bellman281 /Stat4ML

Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP

akshitvjain /product-sales-forecasting

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Mooseburger1 /Springboard-Data-Science-Immersive

该项目在 GitHub 上没有填写描述

williambdean /conjugate

Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.

Protik49 /Probabilistic-Time-Series-Forecasting

Learn about Probabilistic Time Series Forecasting, its key techniques, real-world applications, and advantages over traditional forecasting methods.

mrtkp9993 /Statistical-Modeling-Examples

Basic statistical modelling examples.

shangqigao /BayeSeg

The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

henryspatialanalysis /OpenPOIs

An open-source toolkit for comparing and conflating Points of Interest (POIs) across major geospatial datasets.

AndyDu0921 /wc26-predict

2026 FIFA World Cup prediction research system — 7-component fusion (Dixon-Coles, Elo, Pi-Rating, Weibull, Market, Stacking, Conformal), auditable walk-forward backtesting, bilingual reports

Flintkreadapt /IBM-SPSS-Statistics-Pro

IBM SPSS Statistics Pro for Windows — the complete professional build with every module enabled: statistical modeling, econometrics, and data analysis, no edition limits after install.

jessecambon /Data-Science-Sandbox

Code and resources to serve as a starting point for data science projects.

brandmaier /semtree

Recursive Partitioning for Structural Equation Models

AmirhosseinHonardoust /Synthetic-Data-Artist

A professional, research-grade comparison of Gaussian Copula and Variational Autoencoder (VAE) methods for synthetic tabular data generation. Includes full evaluation pipeline with distribution overlap, correlation analysis, PCA projections, pairplots, metrics, and automated visual reports.

ito4303 /naro_toukei

農研機構統計研修「ベイズ統計モデリングとMCMC」

adamavip /nirs-protein-prediction

We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals

haziqj /INLAvaan

使用 INLA 进行贝叶斯结构方程建模的 R 包