This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations
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Updated
Jun 10, 2024 - Python
This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations
This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.
Optimized Bayesian Neural Network C library for integer only inference in embedded RISC-V Cores
Markov chain Monte Carlo and variational inference.
Clustered Gaussian Process Regression in TFP
Patient Selection for Diabetes Drug Trial is part of the AI for Healthcare nanodegree program from Udacity.
COVID-19 vaccinations in communities vs Polish presidential ellections results 2020. It also includes aleatoric and epistemic uncertainty modeling using Tensorflow Probability.
Deep Invertible Generalized Linear Model implemented on top of tensorflow_probability
Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)
Assorted useful tensorflow functions and keras layers
Probabilistic programming, Bayesian Thinking, Bayesian Data Analysis and Applications
A Bayesian CNN approach to SDSS image data classification
Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
Variational Factorization Machines in TensorFlow and PyTorch
A categorical distribution with efficient sampling and modification of category probabilities
Reinforce-lib is a easy to use, simple to extend reinforcement learning library for Python: https://pos.sissa.it/415/018/pdf.
Prob&Stats with TensorFlow Probability
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