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GitHub topics: bayesian-inference

MunskyGroup/SSIT

Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments

Language: MATLAB - Size: 611 MB - Last synced at: 20 minutes ago - Pushed at: about 2 hours ago - Stars: 3 - Forks: 8

patymunoz/modelos-graficos-probabilisticos

This repository contains a Sphinx project for the documentation of the Probabilistic Graphical Models course (master’s degree level), hosted on Read the Docs.

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: about 1 hour ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 6

UQatKIT/LS-MCMC

A light-weight library for large-scale Markov Chain Monte Carlo sampling

Language: Python - Size: 538 KB - Last synced at: about 5 hours ago - Pushed at: about 7 hours ago - Stars: 1 - Forks: 0

ReactiveBayes/RxInferExamples.jl

This repository contains examples for RxInfer.jl

Language: Makefile - Size: 179 MB - Last synced at: about 5 hours ago - Pushed at: about 7 hours ago - Stars: 23 - Forks: 9

HVL-ML/ADA511 Fork of pglpm/ADA511

Material for course ADA511 at HVL

Language: TeX - Size: 431 MB - Last synced at: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

dsilvestro/PyRate

PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

Language: Python - Size: 117 MB - Last synced at: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 88 - Forks: 38

jdorigojones/21cmKAN

21cmKAN: A Kolmogorov-Arnold Network-Based Emulator of the Global 21 cm Signal

Language: Jupyter Notebook - Size: 218 MB - Last synced at: about 24 hours ago - Pushed at: 1 day ago - Stars: 4 - Forks: 0

oliviergimenez/banana-book

Repo for a book on Bayesian capture-recapture w/ HMMs

Language: R - Size: 948 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 18 - Forks: 11

sbi-dev/sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Language: Python - Size: 115 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 749 - Forks: 201

enkzcestaro/extend-core

🛠️ Extend native JavaScript prototypes with the extend-core library, adding useful utility methods for Arrays, Dates, Strings, and more in TypeScript.

Language: TypeScript - Size: 1.59 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Plant-Food-Research-Open/r-pipeline-development-workshop

Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

Language: HTML - Size: 37.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 2

delemmaao/BSc_Astrophysics_Projects

These are all the astrophysics projects in my final year. My final-year project focuses on orbital transfer optimisation using gradient descent and the Markov Chain Monte Carlo method for uncertainty evaluation.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

mangobanaani/vo_vela

First measurement of nuclear symmetry energy slope Lâ‚€ from vortex oscillations in pulsar glitches. Analysis code and data for RG paper.

Language: Python - Size: 169 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

sandialabs/pytuq

Python Toolkit for Uncertainty Quantification

Language: Python - Size: 7.82 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 7 - Forks: 0

jimmyjz1127/bayesian-mixture-model-missing-data

Code and thesis for my MSc dissertation on Bayesian unsupervised learning with missing data for mixture modeling. Implements Gibbs sampling and Variational Bayes EM for Gaussian and Bernoulli mixture models, with extensions to MNAR settings. Includes simulation pipelines, evaluation benchmarks, and the full dissertation document.

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

jayarnim/M2-PJT_STATS

Final Term Project, Statistical Models and Application (Prof. Yeojin Chung), 2nd Semester, Master’s Program

Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

cdslaborg/paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Language: Fortran - Size: 56.6 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 295 - Forks: 35

baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Language: Julia - Size: 397 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 141 - Forks: 18

ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

Language: Julia - Size: 108 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 115 - Forks: 15

bmlip/course

5SSD0 Bayesian Machine Learning & Information Processing

Language: Julia - Size: 464 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 27 - Forks: 0

timweiland/GaussianMarkovRandomFields.jl

Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"

Language: Julia - Size: 64.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 12 - Forks: 0

BaRatin-tools/BaRatinAGE

BaRatin Advanced Graphical Environment

Language: Java - Size: 39.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 10 - Forks: 3

IvS-KULeuven/GASP

Gaia AGN Survey of Periodic variability

Language: Jupyter Notebook - Size: 156 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

florence-bockting/elicito

A python package for learning prior distributions based on expert knowledge

Language: Python - Size: 1.66 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 15 - Forks: 1

Bizovi/Bizovi.github.io

A blog about Economics, Bayesian data analysis, machine learning, complexity economics and critical thinking

Language: TeX - Size: 207 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 5 - Forks: 0

sergiomorapardo/StochasticAITechniquesClass

Material del curso 'Técnicas Estocásticas de IA'. Cubre modelos de predicción, clasificación y procesos estocásticos.

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

stan-dev/stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Language: C++ - Size: 277 MB - Last synced at: 2 days ago - Pushed at: 10 days ago - Stars: 2,691 - Forks: 379

lukasfritsch/TransportMaps.jl

Julia Package for transport maps

Language: Julia - Size: 4.18 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

JHart96/bisonR

An R package for Bayesian Inference of Social Networks

Language: R - Size: 162 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 2

pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

Language: Python - Size: 93.5 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 8,898 - Forks: 1,003

danVnest/home-assistant

Home automation configuration files for my personal Home Assistant setup.

Language: Python - Size: 5.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 2

devonjkohler/Causomic

Causal inference methods for for -omics research

Language: Jupyter Notebook - Size: 94.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 3

gripols/NavCalc

help

Language: Python - Size: 92.8 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

afrakilic/BTN-Kernel-Machines

a fully probabilistic framework that uses sparsity-inducing hierarchical priors on Tensor Network factors to automatically infer tensor rank and feature dimensions, while also identifying the most relevant features for prediction, thereby enhancing model interpretability.

Language: Python - Size: 1.31 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

bilby-dev/bilby

A unified framework for stochastic sampling packages and gravitational-wave inference in Python.

Language: Python - Size: 19.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 101 - Forks: 114

TuringLang/Bijectors.jl

Implementation of normalising flows and constrained random variable transformations

Language: Julia - Size: 1.36 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 257 - Forks: 41

pglpm/ADA511

Material for course ADA511 at HVL

Language: TeX - Size: 449 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 6 - Forks: 5

enexqnt/Py-vAllocation

Flexible Python library for asset allocation and investor view integration

Language: Python - Size: 2.22 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 0

richardawr/probabilistic-inference

Geometric market structure analysis and Bayesian probability theory

Language: Python - Size: 31.3 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

acerbilab/svbmc

Stacking Variational Bayesian Monte Carlo (S-VBMC) algorithm for combining Variational Bayesian Monte Carlo (VBMC) posteriors to boost inference performance.

Language: Python - Size: 9.66 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language: TeX - Size: 496 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2,237 - Forks: 568

mlcolab/Pathfinder.jl

Preheat your MCMC

Language: Julia - Size: 23.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 79 - Forks: 10

emeyer-hansen/bayesian-kmo

The Bayesian KMO index is a novel re-conceptualization of the Kaiser-Meyer-Olkin (KMO) index that enables researchers to incorporate prior information and make coherent probabilistic statements about the sampling adequacy of a data matrix.

Language: HTML - Size: 57.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

pymc-devs/pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Language: Python - Size: 85.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 551 - Forks: 147

Markhetos/bayesian_network

Bayesian network structure learning using hybrid K2 search and hill climbing optimization. Discovers causal relationships in observational data across datasets with 8-50 variables and up to 10K samples.

Language: Julia - Size: 3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

ReactiveBayes/RxInfer.jl

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Language: Jupyter Notebook - Size: 447 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 368 - Forks: 33

VivekTiwari-PSHG/evidences

🩸 Enhance your FiveM server with realistic evidences like blood, fingerprints, and magazines, adding depth to gameplay and investigations.

Language: Lua - Size: 35.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Renato4333/learn-artificial-intelligence

Language: HTML - Size: 23.4 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

nimble-dev/nimble

The base NIMBLE package for R

Language: C++ - Size: 73.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 184 - Forks: 23

SaiSampathKedari/Statistical-Inference-Theory

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

Size: 119 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

justinjjlee/NHL-Analytics

Data science analyses delving into National Hockey League (NHL) ice hockey statistics

Language: Python - Size: 55.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 19 - Forks: 2

tanmoyie/Bayesian-Inference-Modeling

Bayesian Inference Modeling to Rank Cleanup System in Arctic oil spill https://doi.org/10.1016/j.marpolbul.2022.114203

Language: Python - Size: 12.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

AyaBoughanmi02/BayesianNetworks-MessagePassing-with-pyAgrum

Message Propagation in Bayesian Networks. A practice project analyzing belief propagation algorithms in both singly and multiply connected probabilistic graphical models using Python and pyAgrum.

Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

maximo2010-pixel/deep-generative-models

🔍 Explore deep generative models with this structured repository for experiments, utilities, and course assignments using notebooks and scripts.

Language: Jupyter Notebook - Size: 40.3 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

pyro-ppl/numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Language: Python - Size: 97.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2,546 - Forks: 271

konabe/Bernoulli.learn

Bayesian Inference of Bernoulli Distribution with D3.js

Language: JavaScript - Size: 56.6 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ocbe-uio/GPTCM

Generalized promotion time cure model

Language: C++ - Size: 1.76 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

bat/BAT.jl

A Bayesian Analysis Toolkit in Julia

Language: Julia - Size: 26.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 221 - Forks: 32

erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 549 - Forks: 53

paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Language: R - Size: 259 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1,364 - Forks: 204

OverCV/Intel-II

University of Caldas course for Intelligent Systems II. Class taken with Prof. Jorge Alberto Jaramillo.

Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

stan-dev/rstan

RStan, the R interface to Stan

Language: R - Size: 206 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1,062 - Forks: 271

acerbilab/pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Language: Python - Size: 98.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 122 - Forks: 8

jtimonen/lgpr

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Language: R - Size: 2.84 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 26 - Forks: 1

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 40.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2,179 - Forks: 230

meyer-lab-cshl/BATMAN

Bayesian inference of Activation of TCR by Mutant Antigens

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 8 - Forks: 0

Amon20044/Quantum-Bayes-classifiers-and-their-application-in-image-classification

implementing Quantum Bayes Classifiers (QBCs) for image classification tasks using MNIST and Fashion-MNIST datasets, based on the research by Ming-Ming Wang and Xiao-Ying Zhang. The project includes NaĂŻve QBC, SPODE-QBC, TAN-QBC, and Symmetric-QBC, simulated on MindQuantum.

Language: Python - Size: 64.5 KB - Last synced at: 5 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

maximilian-kruse/SPIN

Non-parametric Bayesian Inference for Stochastic Processes

Language: Python - Size: 8.87 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

maximilian-kruse/LS-Prior

Large-Scale Prior Fields via SPDEs

Language: Python - Size: 2.95 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

0-mostafa-rezaee-0/Beta-Binomial-Classification

Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency

Language: Python - Size: 61.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

maximilian-kruse/Cardiac-Electrophysiology

Non-parameteric Bayesin Inference of Myocardial Fiber Orientations from Electrical Activation Data

Language: Jupyter Notebook - Size: 112 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

microscopic-image-analysis/geosss

Implementation of the geodesic slice sampling on the sphere

Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 0

msmrexe/python-bayesian-network-inference

A Python implementation of Bayesian Networks from scratch, featuring exact inference (Variable Elimination) and approximate inference algorithms (Rejection Sampling, Gibbs Sampling, and Likelihood Weighting).

Language: Python - Size: 40 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

pablo-reyes8/PyDSGEforge

DSGEFoundry delivers a Dynare-inspired, fully Python workflow for building, solving, and estimating linearized DSGE models. Symbolic definitions turn into state-space systems, solved via Gensys, then pushed through Bayesian inference and IRF analytics with reusable abstractions.

Language: Python - Size: 54.7 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

mlatinov/Bayes-Training-with-R-and-Stan

Bayes Training with R and Stan

Language: R - Size: 73.2 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

probsys/AutoGP.jl

Automated Bayesian model discovery for time series data

Language: Julia - Size: 52.9 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 83 - Forks: 5

dotnet/infer

Infer.NET is a framework for running Bayesian inference in graphical models

Language: C# - Size: 34.8 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 1,603 - Forks: 235

jwatowatson/PLATCOV-SAP

Statistical analysis of the PLATCOV trial

Language: R - Size: 133 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

ulrichlosener/BayesianSSD_attrition

This repository contains files for the project "Bayesian SSD with Attrition"

Language: HTML - Size: 1.57 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

blackjax-devs/blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Language: Python - Size: 423 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 964 - Forks: 121

bsvars/bsvars

Bayesian Estimation of Structural Vector Autoregressive Models

Language: R - Size: 49.4 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 57 - Forks: 13

jr-leary7/bayesVG

Identify variable genes in scRNA-seq and spatial transcriptomics data using approximate Bayesian inference

Language: R - Size: 26.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 0

SUwonglab/CausalBGM

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Language: Python - Size: 2.55 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 8 - Forks: 6

arnauqb/blackbirds

Black-Box Inference foR Differentiable Simulators

Language: Python - Size: 15 MB - Last synced at: 8 days ago - Pushed at: 12 months ago - Stars: 21 - Forks: 1

duodenum96/IntrinsicTimescales.jl

A Julia package to estimate Intrinsic (Neural) Timescales (INTs) from time-series data

Language: Julia - Size: 6.45 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 3 - Forks: 1

PhysicsXLtd/DINOZAUR

Official implementation of the NeurIPS 2025 spotlight paper "Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators"

Language: Python - Size: 3.91 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 3 - Forks: 0

sodascience/bestworst_analysis

Bayesian analysis of best-worst scaling data

Language: R - Size: 281 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

pymc-devs/pymc

Bayesian Modeling and Probabilistic Programming in Python

Language: Python - Size: 516 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 9,326 - Forks: 2,148

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 160 KB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 1,575 - Forks: 131

williambdean/conjugate

Bayesian Conjugate Models in Python

Language: Python - Size: 15.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 32 - Forks: 2

mark-andrews/isdsr-pkg

R package to accompany the "Introduction to Statistics and Data Science Using R" textbook

Language: R - Size: 5.91 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

lazydynamics/RxInferServer

RESTful HTTP endpoints to RxInfer

Language: Julia - Size: 5.04 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 10 - Forks: 5

CobayaSampler/cobaya

Code for Bayesian Analysis

Language: Python - Size: 8.62 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 152 - Forks: 146

williambdean/latent-calendar

Analyze and model weekly calendar distributions using latent components

Language: Python - Size: 64.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 10 - Forks: 1

DanielIngham/Cooperative-Positioning-Filters

C++ implementation of filters used for cooperative positioning.

Language: C++ - Size: 2.24 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

StatsWithR/statsr

Companion package for the Coursera Statistics with R specialization

Language: R - Size: 3.57 MB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 74 - Forks: 85

jbirky/alabi

Active Learning Accelerated Bayesian Inference (ALABI)

Language: Python - Size: 102 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 1

OpenThermochronology/Thermochron.jl

Open-source time-Temperature inversion of thermochronometric data

Language: Julia - Size: 1.55 MB - Last synced at: 6 days ago - Pushed at: 20 days ago - Stars: 11 - Forks: 0

elijahmclaughlin/pivotbets

Hosts the frontend Streamlit code for Pivot Bets. Displays predictions and insights for NFL and College Football games. Updated daily.

Language: Python - Size: 63.5 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

vasishth/LecturesIntroBayes

Please go to the website for these online lectures:

Language: HTML - Size: 31.4 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 1

Related Keywords
bayesian-inference 1,936 machine-learning 315 python 247 bayesian-statistics 219 mcmc 192 statistics 185 bayesian 155 r 126 probabilistic-programming 115 variational-inference 115 deep-learning 109 stan 92 gaussian-processes 84 bayesian-methods 82 data-science 80 markov-chain-monte-carlo 69 julia 64 pytorch 59 bayesian-data-analysis 56 bayesian-network 56 pymc3 46 bayesian-neural-networks 44 uncertainty-quantification 42 artificial-intelligence 40 r-package 38 time-series 37 bayes 36 bayesian-networks 36 bayesian-optimization 36 inference 34 data-analysis 34 mcmc-sampler 33 gibbs-sampling 33 causal-inference 33 tensorflow 32 astronomy 32 hierarchical-models 31 nested-sampling 31 reinforcement-learning 31 neural-networks 31 probabilistic-models 30 jags 29 neural-network 29 uncertainty 28 probabilistic-graphical-models 28 jax 27 pymc 27 regression 25 rstats 25 probability 25 parameter-estimation 25 matlab 25 julia-language 25 astrophysics 23 metropolis-hastings 23 statistical-analysis 23 bayesian-deep-learning 22 sequential-monte-carlo 22 linear-regression 22 particle-filter 22 covid-19 22 modeling 22 monte-carlo 22 machine-learning-algorithms 22 markov-chain 21 jupyter-notebook 21 python3 20 sampling-methods 20 inverse-problems 20 hamiltonian-monte-carlo 20 deep-neural-networks 19 graphical-models 18 natural-language-processing 18 time-series-analysis 18 sampling 18 rstan 18 gravitational-waves 17 cosmology 17 numpy 17 simulation-based-inference 17 statistical-inference 17 optimization 17 model-selection 17 simulation 17 statistical-models 17 classification 17 variational-bayes 17 multilevel-models 16 brms 16 normalizing-flows 16 epidemiology 15 clustering 15 monte-carlo-simulation 15 logistic-regression 15 phylogenetics 15 approximate-inference 14 data-visualization 14 approximate-bayesian-computation 14 pyro 14 bioinformatics 14