statistical-models
There are 442 repositories under statistical-models topic.
explosion/spacy-models
💫 Models for the spaCy Natural Language Processing (NLP) library
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
DrWaleedAYousef/Teaching
Teaching Materials for Dr. Waleed A. Yousef
ImperialCollegeLondon/covid19model
Code for modelling estimated deaths and cases for COVID19.
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
smartcorelib/smartcore
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.
soubhiksanyal/FLAME_PyTorch
This is a implementation of the 3D FLAME model in PyTorch
JuliaStats/GLM.jl
Generalized linear models in Julia
JuliaStats/StatsBase.jl
Basic statistics for Julia
TimoBolkart/TF_FLAME
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.
easystats/parameters
:bar_chart: Computation and processing of models' parameters
JuliaStats/MixedModels.jl
A Julia package for fitting (statistical) mixed-effects models
yixuan/MiniDNN
A header-only C++ library for deep neural networks
jthomperoo/predictive-horizontal-pod-autoscaler
Horizontal Pod Autoscaler built with predictive abilities using statistical models
TimoBolkart/FLAME-Universe
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
JuliaStats/StatsModels.jl
Specifying, fitting, and evaluating statistical models in Julia
YiranJing/Coronavirus-Epidemic-COVID-19
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
spatstat/spatstat
Umbrella package of the 'spatstat' family................
mfarragher/appelpy
Applied Econometrics Library for Python
feng-li/Distributed-Statistical-Computing
Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
baptistar/BOCS
Bayesian Optimization of Combinatorial Structures
s-broda/ARCHModels.jl
A Julia package for estimating ARMA-GARCH models.
TommasoBelluzzo/PyDTMC
A library for discrete-time Markov chains analysis.
kgoldfeld/simstudy
simstudy: Illuminating research methods through data generation
lmizrahi/etas
calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution
pbenner/autodiff
Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics
argmaxml/conjugate_prior
Implementation of the conjugate prior table for Bayesian Statistics
dv-lebedev/pair-trading-view
Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.
tbrown122387/pf
PF: a header only template library for fast particle filtering!
joshday/SparseRegression.jl
Statistical Models with Regularization in Pure Julia
ribtoks/yannpp
Deep Neural Network from scratch in C++ for learning purposes
ecrc/exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
usbr/PyForecast
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.
hlennon/LCTMtools
Latent Class Trajectory Models: An R Package
PharmCat/Metida.jl
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
ropensci/dynamite
Bayesian Inference of Complex Panel Data