Projects in Awesome Lists tagged with tensorflow-probability
A curated list of projects in awesome lists tagged with tensorflow-probability .
https://github.com/WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
causal-inference causalimpact python tensorflow-probability
Last synced: 26 Apr 2025
https://github.com/ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
bayesian-inference bayesian-statistics markov-chain-monte-carlo statistical-rethinking tensorflow tensorflow-probability tutorials variational-inference
Last synced: 10 Apr 2025
https://github.com/mohd-faizy/probabilistic-deep-learning-with-tensorflow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
bernoulli-distribution binomial-distributions deep-probabilistic-models keras machine-learning multivariate-distributions poisson-distribution probabilistic-deep-learning probabilistic-layers probabilistic-programming tensorflow tensorflow-probability tensorflow2 tfp univariate-distributions
Last synced: 07 Apr 2025
https://github.com/a-ws-m/unlocknn
A Python package for adding uncertainties to neural network models of chemical systems.
chemistry keras machine-learning materials-science python tensorflow-probability
Last synced: 11 Feb 2025
https://github.com/marpogaus/bernstein_flow
A normalizing flow using Bernstein polynomials for conditional density estimation.
bernstein-polynomials machine-learning probabilistic-modeling regression tensorflow-probability tensorflow2
Last synced: 22 Apr 2025
https://github.com/karenullrich/binary-vae
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
bernoulli binary concrete-distribution tensorflow tensorflow-eager tensorflow-probability vae variational-autoencoder variational-inference
Last synced: 17 Mar 2025
https://github.com/Himscipy/bnn_hvd
Distributed Training of Bayesian Neural Networks at Scale
bayesian-networks computer-vision data-science distributed-computing horovod machine-learning mnist tensorflow tensorflow-probability uncertainty-quantification variational-inference
Last synced: 23 Nov 2024
https://github.com/fomorians-oss/pyoneer
Tensor utilities, reinforcement learning, and more!
deep-learning eager-execution gym machine-learning reinforcement-learning tensorflow tensorflow-probability
Last synced: 09 Feb 2025
https://github.com/akensert/reinforceable
Deep reinforcement learning implementations with TensorFlow and TensorFlow probability.
deep-learning keras reinforcement-learning tensorflow tensorflow-probability
Last synced: 29 Mar 2025
https://github.com/jilljenn/vae
Variational Factorization Machines in TensorFlow and PyTorch
factorization-machines pytorch tensorflow tensorflow-probability torch-distributions variational-inference
Last synced: 20 Mar 2025
https://github.com/jbris/sbi-epidemiology
Simulation based inference for epidemiology
bayesflow epidemiology flow-matching invertible-neural-networks normalising-flows outbreakflow sbi simulation-based-inference sir sir-model tensorflow tensorflow-probability
Last synced: 30 Apr 2025
https://github.com/hosford42/tensorflowutilities
Assorted useful tensorflow functions and keras layers
tensorflow-probability tensorflow2
Last synced: 04 Apr 2025
