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Search results for python bayesian inference
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226 search results found
Numpy Ml
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12,223
Machine learning, in numpy
Pyro
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8,131
Deep universal probabilistic programming with Python and PyTorch
Pymc
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7,799
Bayesian Modeling in Python
Zhusuan
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2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Causalnex
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1,976
A Python library that helps data scientists to infer causation rather than observing correlation.
Numpyro
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1,887
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Pytorch Bayesiancnn
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1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Awesome Normalizing Flows
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1,105
Awesome resources on normalizing flows.
Bambi
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941
BAyesian ModelBuilding Interface (Bambi) in Python.
Bda_py_demos
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851
Bayesian Data Analysis demos for Python
Fortuna
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724
A Library for Uncertainty Quantification.
Bayespy
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666
Bayesian Python: Bayesian inference tools for Python
Blackjax
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563
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Sbi
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430
Simulationbased inference toolkit
Bnlearn
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375
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Bayesian Torch
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339
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Dynesty
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317
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Gpjax
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315
Gaussian processes in JAX.
Particles
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313
Sequential Monte Carlo in python
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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253
ELFI  Engine for LikelihoodFree Inference
Zeus
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197
⚡️ zeus: Lightning Fast MCMC ⚡️
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
Bayesflow
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191
A Python library for amortized Bayesian workflows using generative neural networks.
Exoplanet
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187
Fast & scalable MCMC for all your exoplanet needs!
Pymultinest
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179
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
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
Libcluster
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119
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Beat
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116
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.
Bayesian_bootstrap
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110
bayesian bootstrapping in python
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Gpax
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107
Gaussian Processes for Experimental Sciences
Cobaya
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103
Code for Bayesian Analysis
Pycbc Tutorials
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101
Learn how to use PyCBC to analyze gravitationalwave data and do parameter inference.
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
Pgmax
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96
Loopy belief propagation for factor graphs on discrete variables in JAX
Mxfusion
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93
Modular Probabilistic Programming on MXNet
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Gelato
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85
Bayesian dessert for Lasagne
Pythonmcmc
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82
A list of Pythonbased MCMC & ABC packages
Bayes Toolbox
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80
bayestoolbox
Sgmcmcjax
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79
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
Covid19_inference
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71
Bayesian python toolbox for inference and forecast of the spread of the Coronavirus
Python Qinfer
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69
Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.
Geobipy
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69
Geophysical Bayesian Inference in Python. Docs:
Gammy
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68
🐙 Generalized additive models in Python with a Bayesian twist
Pyrate
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68
PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.
Pyfilter
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67
Particle filtering and sequential parameter inference in Python
Smurff
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63
Bayesian Factorization with Side Information in C++ with Python wrapper
Aorun
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60
Deep Learning over PyTorch
Delfi
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57
Density estimation likelihoodfree inference
Ncp
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56
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Noisynaturalgradient
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56
TensorFlow implementation of "noisy KFAC" and "noisy EKFAC"
Dnest4
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56
Diffusive Nested Sampling
Uqtk
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56
Sandia Uncertainty Quantification Toolkit
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)
Anesthetic
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51
Nested Sampling postprocessing and plotting
Pybgmm
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49
Bayesian inference for Gaussian mixture model with some novel algorithms
Lda_thesis
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49
Hierarchical, multilabel topic modelling with LDA
Nway
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46
nway  Bayesian crossmatching of astronomical catalogues
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.
Gumbi
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43
Gaussian Process Model Building Interface
Webmc3
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43
A web interface for exploring PyMC3 traces
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
Bayesfit
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39
Bayesian Psychometric Curve Fitting Tool
Bayesr
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38
The official implementation of "Bayesian Image SuperResolution with Deep Modeling of Image Statistics" via TensorFlow
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
Dibs
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35
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Viabel
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34
Efficient, lightweight variational inference and approximation bounds
Bnn
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34
Bayesian Neural Network in PyTorch
Bayesianframework
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31
A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).
Tramp
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30
Tree Approximate Message Passing
Nessai
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28
nessai: Nested Sampling with Artificial Intelligence
Move
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26
MOVE (MultiOmics Variational autoEncoder) for integrating multiomics data and identifying cross modal associations
Brutus
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25
Modeling stellar photometry with "brute force" methods
Kulprit
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25
KullbackLeibler projections for Bayesian model selection in Python
Cgpm
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24
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
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
Optbayesexpt
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24
Optimal Bayesian Experiment Design
Bayes Drt
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24
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
Pysgmcmc
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23
Stochastic Gradient MCMC Methods for Tensorflow
Pymc Stochastic Process
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22
Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.
Mitre
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22
The Microbiome Interpretable Temporal Rule Engine
Astrostatistics_bicocca_2023
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22
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of MilanBicocca (Italy)
Approxposterior
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22
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Cpnest
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22
Parallel nested sampling
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
Noisy K Fac
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20
Natural Gradient, Variational Inference
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