Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About

The Top 22 Tensorflow Bayesian Inference Open Source Projects

Open source projects categorized as Tensorflow Bayesian Inference
Categories > Machine Learning > Bayesian Inference
Categories > Machine Learning > Tensorflow
Zhusuan ⭐ 2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
most recent commit 6 months ago
Rethinking Tensorflow Probability ⭐ 207
Statistical Rethinking (2nd Ed) with Tensorflow Probability
most recent commit a year ago
Aboleth ⭐ 125
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
total releases 10most recent commit 5 years ago
A Nice Mc ⭐ 124
Code for "A-NICE-MC: Adversarial Training for MCMC"
most recent commit 5 years ago
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12most recent commit 2 years ago
Ncp ⭐ 56
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
most recent commit 3 years ago
Fbnn ⭐ 53
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
most recent commit 3 years ago
Cosmopower ⭐ 35
Machine Learning - accelerated Bayesian inference
most recent commit a month ago
Artificial_neural_networks ⭐ 35
A collection of Methods and Models for various architectures of Artificial Neural Networks
most recent commit 3 years ago
Pysgmcmc ⭐ 23
Stochastic Gradient MCMC Methods for Tensorflow
most recent commit 5 years ago
Noisy K Fac ⭐ 20
Natural Gradient, Variational Inference
most recent commit 3 years ago
Deep Gaussian Process ⭐ 12
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
most recent commit 2 years ago
Probablytensorflow ⭐ 9
A tutorial on Bayesian Inference with Tensorflow Probability
most recent commit 4 years ago
Tensorbnn ⭐ 8
Full Bayesian inference for neural networks using TensorFlow
total releases 13most recent commit 2 years ago
Greta.lme ⭐ 7
a greta extension for hierarchical models
most recent commit 4 years ago
Svgd_tf ⭐ 6
Implementation of Stein Variational Gradient Descent with TensorFlow 2.0
most recent commit 4 years ago
Svpg_tensorflow ⭐ 5
Tensorflow Implementation of Stein Variational Policy Gradients
most recent commit 5 years ago
Svgd ⭐ 4
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
most recent commit 5 years ago
Vadam ⭐ 3
Keras implementation of arXiv 1806.04854
most recent commit 2 years ago
Portfolio ⭐ 2
Data science and machine learning portfolio
most recent commit 4 years ago
Autodiff Experiments ⭐ 2
automatic/analytical differentiation benchmark
most recent commit 2 months ago
Applied Statistics Reading Group ⭐ 2
Notes, references, codes, and everything in between for a reading group on application of advanced statistics.
most recent commit 4 years ago
The 3 Latest Releases In Tensorflow Bayesian Inference Open Source Projects
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12latest release December 28, 2020most recent commit 2 years ago
Tensorbnn ⭐ 8
Full Bayesian inference for neural networks using TensorFlow
total releases 13latest release November 11, 2020most recent commit 2 years ago
Aboleth ⭐ 125
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
total releases 10latest release September 20, 2018most recent commit 5 years ago
Popular Machine Learning Categories
Machine Learning
Deep Learning
Pytorch
Tensorflow
Neural
Natural Language Processing
Neural Network
Opencv
Convolutional Neural Networks
Face
Categories
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2023 Awesome Open Source.  All rights reserved.