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Search results for python bayesian inference
bayesianinference
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138 search results found
Numpy Ml
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14,162
Machine learning, in numpy
Pymc
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8,528
Bayesian Modeling and Probabilistic Programming in Python
Pyro
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8,464
Deep universal probabilistic programming with Python and PyTorch
Zhusuan
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2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Pytorch Bayesiancnn
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1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Bambi
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976
BAyesian ModelBuilding Interface (Bambi) in Python.
Fortuna
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824
A Library for Uncertainty Quantification.
Bayespy
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666
Bayesian Python: Bayesian inference tools for Python
Blackjax
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636
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Bnlearn
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406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Bayesian Torch
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396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Gpjax
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352
Gaussian processes in JAX.
Dynesty
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323
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Pyvarinf
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300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Elfi
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259
ELFI  Engine for LikelihoodFree Inference
Bayesflow
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216
A Python library for amortized Bayesian workflows using generative neural networks.
Pytensor
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201
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multidimensional arrays.
Probabilistic Models
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196
Collection of probabilistic models and inference algorithms
Bayesianrecurrentnn
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196
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Pymultinest
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185
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Gpax
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163
Gaussian Processes for Experimental Sciences
Pyhawkes
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139
Python framework for inference in Hawkes processes.
Bayesloop
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127
Probabilistic programming framework that facilitates objective model selection for timevarying parameter models.
Ml_algo_in_depth
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124
ML algorithms in depth
Pgmax
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123
Loopy belief propagation for factor graphs on discrete variables in JAX
Beat
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121
Bayesian Earthquake Analysis Tool
Paramonte
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112
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Cobaya
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110
Code for Bayesian Analysis
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Pyvbmc
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97
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Bayesian Coresets
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96
Automated Scalable Bayesian Inference
Bayes Toolbox
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88
bayestoolbox
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Sgmcmcjax
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80
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
Gammy
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71
🐙 Generalized additive models in Python with a Bayesian twist
Pyrate
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69
PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.
Uqtk
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62
Sandia Uncertainty Quantification Toolkit
Aorun
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60
Deep Learning over PyTorch
Delfi
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57
Density estimation likelihoodfree inference
Dnest4
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56
Diffusive Nested Sampling
Ncp
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56
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Pyautofit
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54
PyAutoFit: Classy Probabilistic Programming
Fbnn
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53
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Lda_thesis
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49
Hierarchical, multilabel topic modelling with LDA
Pybgmm
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49
Bayesian inference for Gaussian mixture model with some novel algorithms
Gumbi
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47
Gaussian Process Model Building Interface
Bdapy
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45
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
Pylda
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44
A Latent Dirichlet Allocation implementation in Python.
Bayes_tutorial_2019
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42
Introductory overview of Bayesian inference
Pocomc
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39
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Approxposterior
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38
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Dibs
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37
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Harmonic
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36
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
Carma_pack
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36
MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Viabel
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34
Efficient, lightweight variational inference and approximation bounds
Bnn
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34
Bayesian Neural Network in PyTorch
Astrostatistics_bicocca_2023
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32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of MilanBicocca (Italy)
Nessai
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29
nessai: Nested Sampling with Artificial Intelligence
Pyhgf
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27
PyHGF: A graph neural network library for predictive coding
Kulprit
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25
KullbackLeibler projections for Bayesian model selection in Python
Brutus
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25
Modeling stellar photometry with "brute force" methods
Cgpm
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24
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
Bayes Drt
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24
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
Autogp
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24
Code for AutoGP
Scikit Stan
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24
A highlevel Bayesian analysis API written in Python
Calm
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24
Conditional Associative Logic Memory
Uravu
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23
A straightforward Bayesian data fitting library
Pycurious
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21
Python package for computing the Curie depth from the magnetic anomaly
Pymc3_euss
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21
Course in Probabilistic Programming in Python for the 2018 EU Summer School
Iranbourseanalyser
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20
Python scripts for downloading and analyzing iran bourse (stock exchange) data. اسکریپت پایتون برای دانلود و تحلیل داده های بورس تهران.
Tarp
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18
Coverage tests to check the quality of your posterior estimators.
Dynamical Systems
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18
Models of dynamical systems
Datascience
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17
My data science projects, in Python and R, about statistical learning and Bayesian inference.
Probabilistic Programming And Bayesian Methods For Hackers
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17
Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon
Bajes
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17
Bayesian Jenaer software
Jax Bayes
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16
Bayesian inference with Python and Jax.
Quantised Bayesian Nets
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16
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Fgivenx
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16
Functional Posterior Plotter
Skbel
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16
SKBEL  Bayesian Evidential Learning framework built on top of scikitlearn.
Nestcheck
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15
Error analysis, diagnostic tests and plots for nested sampling calculations.
3dmmdepthfitting
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15
Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies
Basq
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15
(NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Conjugate
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15
Bayesian Conjugate Models in Python
Bayesianml
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14
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Zhusuan Pytorch
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14
An Elegant Library for Bayesian Deep Learning in PyTorch
Zhusuan Jittor
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13
Zhusuan with backend Jittor
Lingo
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13
Infer the gender of an individual based on their name.
Deep Gaussian Process
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12
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
Ursabench
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12
Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"
Trilearn
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12
Bayesian structure learning and classification in decomposable graphical models.
Peuqse
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12
Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.
Gsum
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12
A Bayesian model of series convergence using Gaussian sums
Bayesian_cnn_continuallearning
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12
Interpreting Bayesian inference as continual learning with a CNN
Sushie
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11
Software to perform multiancestry SNP finemapping on molecular data
Gpjax
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11
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
Bnmtf
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11
Python code for "Fast Bayesian nonnegative matrix factorisation and trifactorisation", presented at NIPS 2016 Workshop on Advances in Approximate Bayesian Inference
Dynetlsm
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10
DynetLSM: latent space models for dynamic networks
Vice
⭐
10
Variational Interpretable Concept Embeddings
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