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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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

Related Keywords
bayesian-inference 1,814 machine-learning 292 python 216 bayesian-statistics 204 mcmc 181 statistics 167 bayesian 150 r 123 probabilistic-programming 112 variational-inference 108 deep-learning 103 stan 88 gaussian-processes 82 bayesian-methods 78 data-science 69 markov-chain-monte-carlo 66 julia 62 bayesian-data-analysis 56 pytorch 55 bayesian-network 52 pymc3 46 bayesian-neural-networks 43 artificial-intelligence 39 r-package 37 bayesian-optimization 36 uncertainty-quantification 34 inference 34 time-series 34 bayes 34 bayesian-networks 33 tensorflow 33 mcmc-sampler 32 gibbs-sampling 31 astronomy 31 probabilistic-models 30 data-analysis 30 hierarchical-models 30 causal-inference 30 nested-sampling 30 neural-networks 29 reinforcement-learning 29 neural-network 26 julia-language 25 matlab 25 jags 25 probabilistic-graphical-models 25 jax 24 rstats 24 parameter-estimation 24 pymc 23 regression 23 metropolis-hastings 23 covid-19 22 probability 22 statistical-analysis 22 bayesian-deep-learning 22 uncertainty 22 astrophysics 22 modeling 22 machine-learning-algorithms 21 sequential-monte-carlo 21 particle-filter 21 python3 20 markov-chain 20 hamiltonian-monte-carlo 20 linear-regression 20 inverse-problems 20 sampling-methods 20 monte-carlo 20 deep-neural-networks 19 jupyter-notebook 19 rstan 18 natural-language-processing 18 sampling 18 variational-bayes 17 gravitational-waves 17 statistical-inference 17 graphical-models 16 statistical-models 16 multilevel-models 16 simulation 15 cosmology 15 clustering 15 brms 15 model-selection 15 time-series-analysis 15 logistic-regression 14 optimization 14 classification 14 simulation-based-inference 14 phylogenetics 14 computer-vision 14 epidemiology 14 normalizing-flows 14 pyro 14 numpy 14 bioinformatics 13 ai 13 data-visualization 13 mcmc-sampling 13