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
Deep reinforcement learning implementations with TensorFlow and TensorFlow probability.
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.
Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)
Statistics MSc Project (2020): Audio Source Separation
Assorted useful tensorflow functions and keras layers
TensorFlow ML - an abstract implementation of commonly used machine learning algorithms using TensorFlow. Feel free to contribute! (Work in Progress)
This code finds an optimal architecture, search for hyperparameters (using OPTUNA code), trains and make predictions using LYMAN alpha part of simulated 1D super massive black hole spectra and converts it to intergalactic medium gas conditions along the line of sight. However, this code easily be utilized for ANY 1D signals using supervised ML.
COVID-19 vaccinations in communities vs Polish presidential ellections results 2020. It also includes aleatoric and epistemic uncertainty modeling using Tensorflow Probability.
Statistics and Machine Learning in depth analysis with Tensorflow Probability
Keras, Tensorflow eager execution implementation of Neural Processes
Variational Factorization Machines in TensorFlow and PyTorch
Reinforce-lib is a easy to use, simple to extend reinforcement learning library for Python: https://pos.sissa.it/415/018/pdf.
Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
Code accompanying my 2021 ASA SDSS paper
Tensor utilities, reinforcement learning, and more!
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
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