GitHub topics: bayesian-inference
cscherrer/Soss.jl
Probabilistic programming via source rewriting
Language: Julia - Size: 5.81 MB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 415 - Forks: 30

hongxin/CSMATH
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
Size: 118 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 13 - Forks: 1

theogf/BayesianSVM
Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"
Language: Julia - Size: 2.08 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 8

rajaddr/simpliml
SimpliML is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, SimpliML simplifies every step of the machine learning process
Language: Python - Size: 92.8 KB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rlhinrichs/deepsleepai
🧠 DeepSleepAI – EEG Signal Automated Classification
Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

stratisMarkou/sample-efficient-bayesian-rl
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 15

sandialabs/quinn
Quantification of Uncertainties in Neural Networks
Language: Python - Size: 7.5 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 0

molcretb/GPyTool
GPyTool, a Bayesian framework developed to estimate the diffusive properties of a stochastic time trajectory
Language: Jupyter Notebook - Size: 236 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

stan-dev/shinystan
shinystan R package and ShinyStan GUI
Language: R - Size: 32.9 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 199 - Forks: 47

tpapp/AltDistributions.jl
Implementations for some distributions using a consistent API and AD-friendly code.
Language: Julia - Size: 204 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 3

Piras-S/TuningCurvesNestedBayesianInference
Bayesian inference of neural tuning curves using nested sampling (PyMultiNest), with theory, simulation, and diagnostic visualizations.
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Piras-S/OceanAnalysisProcess
This project models expected temperature drop across the ocean's cool skin layer behavior from meteorological inputs, then compares predictions to 2021 satellite data to identify anomalies. Includes uncertainty quantification and spatial-temporal analysis.
Language: Jupyter Notebook - Size: 954 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
Size: 9.48 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 916 - Forks: 237

XiangyunHuang/data-analysis-in-action
:book: R 语言数据分析实战(写作中) Data Analysis in Action Using R
Language: TeX - Size: 594 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 73 - Forks: 18

jbolstad/hbamr
Hierarchical Bayesian Aldrich-McKelvey Scaling in R via Stan
Language: R - Size: 8.57 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

rwth-irt/BayesianPoseEstimation.jl
6D pose estimation using sampling-based Bayesian inference algorithms. Produced the results of Tim Redick's dissertation.
Language: Julia - Size: 5.85 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

JuBiotech/peak-performance
A Python toolbox for Bayesian inference of peak areas.
Language: Python - Size: 578 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

ComputationalPsychiatry/RegressionDynamicCausalModeling.jl
A Julia package for estimating directed connectivity in whole-brain networks
Language: Julia - Size: 1.35 MB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 10 - Forks: 1

astamr/bayesReact
Model to evaluate the distribution of Regular Expressions (REs) across a ranked sequence list.
Language: HTML - Size: 1.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abdullahau/bayesian-analysis
Bayesian data analysis and causal inference using Python & PyMC
Language: HTML - Size: 685 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alisiahkoohi/csgm
Code to reproduce the results in "Conditional score-based diffusion models for Bayesian inference in infinite dimensions", NeurIPS 2023
Language: Python - Size: 95.7 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 9 - Forks: 2

ConnorDonegan/geostan
Bayesian spatial analysis
Language: R - Size: 171 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 79 - Forks: 6

kumar-shridhar/Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Language: TeX - Size: 18.6 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 265 - Forks: 83

hao-lh/the-books-making-you-better
This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your expertise, and fuel you drive better, whether you’re exploring new fields, honing in-demand skills, or simply looking for fresh perspectives.
Size: 254 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 181 - Forks: 22

jessegrabowski/gEconpy
A collection of tools for working with DSGE models in python, inspired by the R package gEcon
Language: Python - Size: 144 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 29 - Forks: 4

JuBiotech/calibr8
Toolbox for non-linear calibration modeling.
Language: Jupyter Notebook - Size: 8.56 MB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 24 - Forks: 1

niekdt/meanvar-clustering-longitudinal-data
Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel
Language: R - Size: 107 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

niklaslienau/bay_causal_discovery
Monte Carlo Simulation comparing Bayesian and Constraint Based Causal Discovery Algorithms
Language: R - Size: 273 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hbmep/hbmep
Hierarchical Bayesian estimation of MEP recruitment curves
Language: Python - Size: 7.09 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

BenZickel/torch_arima
ARIMA time series implementation in PyTorch with optional support for Bayesian priors.
Language: Python - Size: 18.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 9 - Forks: 1

AtrCheema/ai4flowcam_data
probabilistic prediction of flowcam data with deep learning models
Language: Python - Size: 105 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tttc3/MCCube
Markov Chain Cubature via JAX. Efficient SDE solving and Bayesian inference.
Language: Python - Size: 232 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

ORE-DiaPFC/Abondance
Mise à jour et standardisation des séries chronologiques d'abondance du saumon atlantique sur les cours d'eau de l'ORE DiaPFC
Language: HTML - Size: 98.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Language: C++ - Size: 13.2 MB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 115 - Forks: 14

EkleTony/Adaptive-DecayRank
Real-Time Anomaly Detection in Dynamic Graphs with Bayesian PageRank Updates
Language: C++ - Size: 7.85 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lucadellalib/bdl-rul-svgd
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
Language: Python - Size: 11.6 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 0

mikeroyal/Bayesian-Statistics-Guide
Bayesian Statistics Guide
Language: MATLAB - Size: 180 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 4

AndreaBlengino/baypy
Python library for solving bayesian regression models through a Monte Carlo Markov chain sampling.
Language: Python - Size: 5.21 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

draktr/monte-library
Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
Language: Python - Size: 114 KB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

koriavinash1/pgm
Graph: Representation, Learning, and Inference Methods
Language: Python - Size: 253 KB - Last synced at: 30 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

mrazomej/scribe
SCRIBE: Single-Cell RNA-seq Inference using Bayesian Estimation
Language: HTML - Size: 11.6 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

AlexIoannides/pymc-stochastic-process
Bayesian Inference and parameter estimation in quant finance.
Language: Jupyter Notebook - Size: 449 KB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 42 - Forks: 11

AlexIoannides/pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Language: Jupyter Notebook - Size: 77.3 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 105 - Forks: 18

pedrohserrano/computational-statistics
Computational Statistics with R
Language: R - Size: 21 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 1

stemangiola/ppcseq
Probabilistic outlier identification for bulk RNA sequencing data
Language: R - Size: 153 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4

gradientinstitute/aboleth
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Language: Python - Size: 4.39 MB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 128 - Forks: 10

alexgdebeer/GeothermalDSI
Data space inversion for geothermal reservoir modelling.
Language: Python - Size: 348 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alexgdebeer/GeothermalEnsembleMethods
Ensemble Kalman inversion for geothermal reservoir modelling.
Language: Python - Size: 321 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

mauricelanghinrichs/memocell
Bayesian inference of stochastic cellular processes with and without memory in Python.
Language: Python - Size: 55.4 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

mauricelanghinrichs/ABCdeZ.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
Language: Julia - Size: 894 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 12 - Forks: 1

felixleopoldo/trilearn
Bayesian structure learning and classification in decomposable graphical models.
Language: Python - Size: 1.6 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 5

ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
The bookdown version lives here: https://bookdown.org/content/3890
Language: HTML - Size: 5.33 GB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 402 - Forks: 95

jaredhidalgo/BayesFRET
An Experiment-Informed HDP-HMM to Analyze Surface-Immobilized smFRET Data
Language: Python - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

gwnrtools/gwnrtools
Research tools for intermingling gravitational-wave data analysis with numerical relativity
Language: Jupyter Notebook - Size: 73.8 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 8

oliviergimenez/statistics-for-ecologists-Master-courses
The material for a course on Statistics for ecologists I teach every year to Master students.
Language: R - Size: 58.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 58 - Forks: 10

ssydasheng/FBNN
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Language: Python - Size: 12.8 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 82 - Forks: 10

fmagrini/bayesmaps
Accelerating MCMC with Transport map and INN
Size: 3.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JohnGoertz/Gumbi
Gaussian Process Model Building Interface
Language: Python - Size: 19 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 50 - Forks: 1

ExaScience/smurff Fork of jaak-s/macau
Bayesian Factorization with Side Information in C++ with Python wrapper
Language: C++ - Size: 9.16 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 69 - Forks: 14

rodri-santos/APRP-2024
Implementação de modelos probabilísticos e generativos no âmbito da cadeira Aprendizagem Probabilística e Reconhecimento de Padrões do 2.º semestre de 2023/2024 do 3º ano da Licenciatura em Engenharia e Ciência de Dados no DEI - Universidade de Coimbra.
Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alejandroh3005/spatial-analysis
Course repository for CS&SS 554: Statistical Methods for Spatial Data (Winter 2025) with Dr. Jon Wakefield
Language: Stata - Size: 81.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

montefiore-institute/balanced-nre
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2

SuperBruceJia/EEG-BayesianCNN
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
Language: Python - Size: 204 KB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 3

wbasener/BayesianML
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 19

CapStats-ML/Estadistica_Bayesiana
El objetivo del curso es explorar todo lo relacionado con esta area de la Estadística como la Inferencia Bayesiana, El Modelado Bayesiano y los mecanismos o algotimos usados para llevar a cabo estos calculos computaciones como puedes ser el metodo Monte Carlo o Metropolis
Language: HTML - Size: 90.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

gusamarante/bayesfm
Bayesian Fama-MacBeth
Language: Python - Size: 647 KB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 6 - Forks: 2

Audio-WestlakeU/RVAE-EM
Official PyTorch implementation of "RVAE-EM: Generative speech dereverberation based on recurrent variational auto-encoder and convolutive transfer function" [ICASSP2024]
Language: Python - Size: 55.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 42 - Forks: 4

liesel-devs/liesel-jss
Installation instructions and supplementary material for the Liesel JSS manuscript
Size: 27.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

STooDs-tools/RSTooDs
An R user interface to STooDs
Language: R - Size: 3.87 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

jaspervrugt/DREAM_LOA
Limits of Acceptability with DREAM algorithm: MATLAB and Python code
Language: Python - Size: 2.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

giabaio/survHEinla
Survival analysis in health economic evaluation using Bayesian modelling though Integrated Nested Laplace Approximation. Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation.
Language: R - Size: 14.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1

RobbenRibery/TuoTuo
TuoTuo is a Topic Modeling library for Researchers and Engineers
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2

open-AIMS/bayesnec
Bayesian No-Effect-Concentration estimation in R
Language: R - Size: 760 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 13 - Forks: 7

mo42/Bayes-Believer 📦
An iOS app that supports Bayesian thinking 🧠🧮
Language: Swift - Size: 621 KB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Reckziegel/FFP
Fully Flexible Probabilities for Stress-Testing and Portfolio Construction
Language: R - Size: 14.5 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

mhw32/variational-item-response-theory-public
A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"
Language: Python - Size: 66.4 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 78 - Forks: 21

sbfnk/fitR
Functions for model fitting and inference
Language: R - Size: 100 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 9

sandialabs/UQTk
Sandia Uncertainty Quantification Toolkit
Language: Fortran - Size: 48.9 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 77 - Forks: 27

sanketrane/B_cells_FM_GC
https://www.sciencedirect.com/science/article/pii/S2211124720313656
Language: R - Size: 544 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

EmanuelSommer/MILE
Code for the ICLR 2025 paper: "Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks"
Language: Python - Size: 5.32 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 2

activatedgeek/svgd
PyTorch implementation of Stein Variational Gradient Descent
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 43 - Forks: 4

junlulocky/PyBGMM
Bayesian inference for Gaussian mixture model with some novel algorithms
Language: Python - Size: 937 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 54 - Forks: 16

Abdoelabassi/Statistics_for_ML
Probability & Statistics for Machine Learning & Data Science
Language: Jupyter Notebook - Size: 46.6 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

UQatKIT/MTMLDA
Parallelized MLDA Sampler based on Prefetching
Language: Python - Size: 1.34 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

daeh/emotionreasoning-cogsci22
Emotion Reasoning. Models, analyses and data for the 2022 CogSci paper, "Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind"
Language: HTML - Size: 4.14 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

csiro-funml/bacon
Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024
Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

weijie-chen/Bayesian-Statistics-Econometrics
Bayesian Statistics-Econometrics
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 33

onnela-lab/gptoolsStan 📦
This repository has been merged into https://github.com/onnela-lab/gptools/.
Size: 37.1 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

TYtianyang/scbnn
Implied volatility surface interpolation with shape-constrained bayesian neural network.
Language: Python - Size: 105 KB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 3

jgomezdans/dalec_pf
A data assimilation experiment with the DALEC ecosystem model
Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 2

wonho13/work
공부 내용, 논문 번역, 책 번역
Language: Jupyter Notebook - Size: 165 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

rstammer/cmd_stan_rb
Ruby interface to Stan for Bayesian Inference from Ruby environments
Language: Jupyter Notebook - Size: 4.53 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

ndmarco/NeuralComp
An R package for testing and analyzing rate fluctuations of multiplexing neurons under a Bayesian paradigm
Language: C++ - Size: 4.28 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

UQatKIT/SPIN
Non-parametric Bayesian Inference for Stochastic Processes
Language: Python - Size: 8.78 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

agarbuno/modelacion-bayesiana
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
Language: R - Size: 107 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 52

ctallec/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Language: Python - Size: 47.9 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 359 - Forks: 50

LaloLozas16041/BayesianStatistics
Aquí encontrarás materiales didácticos, ejercicios, conjuntos de datos y recursos para profundizar en el análisis bayesiano. Este curso está dirigido a estudiantes interesados en métodos estadísticos avanzados, análisis de datos y programación estadística.
Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 0

thuwzy/ZhuSuan-PyTorch
An Elegant Library for Bayesian Deep Learning in PyTorch
Language: Python - Size: 16.2 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 4

salleuska/IRT_nimble_code
Supplementary code to the paper "Computational methods for Bayesian semiparametric Item Response Theory models"
Language: R - Size: 3.89 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1

KCGallagher/periodic-sampling
Utilising Gibbs Sampling to explore periodic data trends in Covid-19 case data
Language: Python - Size: 148 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0
