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226 search results found

Numpy Ml ⭐ 12,223

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

Bayesian Modeling in Python

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Causalnex ⭐ 1,976

A Python library that helps data scientists to infer causation rather than observing correlation.

Numpyro ⭐ 1,887

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

Pytorch Bayesiancnn ⭐ 1,181

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Awesome Normalizing Flows ⭐ 1,105

Awesome resources on normalizing flows.

BAyesian Model-Building Interface (Bambi) in Python.

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Fortuna ⭐ 724

A Library for Uncertainty Quantification.

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Blackjax ⭐ 563

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

Simulation-based inference toolkit

Bnlearn ⭐ 375

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Bayesian Torch ⭐ 339

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Dynesty ⭐ 317

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Gaussian processes in JAX.

Particles ⭐ 313

Sequential Monte Carlo in python

Pyvarinf ⭐ 300

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

ELFI - Engine for Likelihood-Free Inference

⚡️ zeus: Lightning Fast MCMC ⚡️

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Bayesflow ⭐ 191

A Python library for amortized Bayesian workflows using generative neural networks.

Exoplanet ⭐ 187

Fast & scalable MCMC for all your exoplanet needs!

Pymultinest ⭐ 179

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

Pyhawkes ⭐ 139

Python framework for inference in Hawkes processes.

Bayesloop ⭐ 127

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Ml_algo_in_depth ⭐ 124

ML algorithms in depth

Libcluster ⭐ 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.

Bayesian Earthquake Analysis Tool

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Bayesian_bootstrap ⭐ 110

bayesian bootstrapping in python

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Gaussian Processes for Experimental Sciences

Code for Bayesian Analysis

Pycbc Tutorials ⭐ 101

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

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

Bayesian Coresets ⭐ 96

Automated Scalable Bayesian Inference

Loopy belief propagation for factor graphs on discrete variables in JAX

Mxfusion ⭐ 93

Modular Probabilistic Programming on MXNet

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Bayesian dessert for Lasagne

Pythonmcmc ⭐ 82

A list of Python-based MCMC & ABC packages

Bayes Toolbox ⭐ 80

Sgmcmcjax ⭐ 79

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

Covid19_inference ⭐ 71

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

Python Qinfer ⭐ 69

Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.

Geophysical Bayesian Inference in Python. Docs:

🐙 Generalized additive models in Python with a Bayesian twist

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

Pyfilter ⭐ 67

Particle filtering and sequential parameter inference in Python

Bayesian Factorization with Side Information in C++ with Python wrapper

Deep Learning over PyTorch

Density estimation likelihood-free inference

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

Noisynaturalgradient ⭐ 56

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

Diffusive Nested Sampling

Sandia Uncertainty Quantification Toolkit

Pyautofit ⭐ 54

PyAutoFit: Classy Probabilistic Programming

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Anesthetic ⭐ 51

Nested Sampling post-processing and plotting

Bayesian inference for Gaussian mixture model with some novel algorithms

Lda_thesis ⭐ 49

Hierarchical, multi-label topic modelling with LDA

nway -- Bayesian cross-matching of astronomical catalogues

Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python

A Latent Dirichlet Allocation implementation in Python.

Gaussian Process Model Building Interface

A web interface for exploring PyMC3 traces

Bayes_tutorial_2019 ⭐ 42

Introductory overview of Bayesian inference

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Bayesfit ⭐ 39

Bayesian Psychometric Curve Fitting Tool

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

Carma_pack ⭐ 36

MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Efficient, lightweight variational inference and approximation bounds

Bayesian Neural Network in PyTorch

Bayesianframework ⭐ 31

A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).

Tree Approximate Message Passing

nessai: Nested Sampling with Artificial Intelligence

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

Modeling stellar photometry with "brute force" methods

Kullback-Leibler projections for Bayesian model selection in Python

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Code for AutoGP

Scikit Stan ⭐ 24

A high-level Bayesian analysis API written in Python

Conditional Associative Logic Memory

Optbayesexpt ⭐ 24

Optimal Bayesian Experiment Design

Bayes Drt ⭐ 24

Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data

Pysgmcmc ⭐ 23

Stochastic Gradient MCMC Methods for Tensorflow

Pymc Stochastic Process ⭐ 22

Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.

The Microbiome Interpretable Temporal Rule Engine

Astrostatistics_bicocca_2023 ⭐ 22

Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

Approxposterior ⭐ 22

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Parallel nested sampling

Pycurious ⭐ 21

Python package for computing the Curie depth from the magnetic anomaly

Pymc3_euss ⭐ 21

Course in Probabilistic Programming in Python for the 2018 EU Summer School

Noisy K Fac ⭐ 20

Natural Gradient, Variational Inference

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