Gaussian processes in TensorFlow
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Updated
Jun 17, 2024 - Python
Gaussian processes in TensorFlow
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Statistical package in Python based on Pandas
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
Tools for an Aesara-based PPL.
A Python package for building Bayesian models with TensorFlow or PyTorch
Bayesian models of football leagues
A tool-box for prior elicitation.
Python package for Bayesian Model Mixing
Bayesian A/B testing
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
Implementation of the conjugate prior table for Bayesian Statistics
A Generative Probabilistic Model for NLP
Open Source Photometric classification https://supernnova.readthedocs.io
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
Fast Bayesian A/B and Multivariate testing.
Search of an optimal Bayesian Network, assessing its best fit to a dataset, via an objective scoring function. Created at Stanford University, by Pablo Rodriguez Bertorello
Bayesian structure learning and classification in decomposable graphical models.
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