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The Top 12 Machine Learning Bayesian Neural Networks Open Source Projects

Open source projects categorized as Machine Learning Bayesian Neural Networks
Categories > Bayesian Neural Networks
Categories > Machine Learning > Machine Learning
Turing.jl ⭐ 1,925
Bayesian inference with probabilistic programming.
most recent commit 3 months ago
Awesome Normalizing Flows ⭐ 1,232
Awesome resources on normalizing flows.
most recent commit 4 months ago
Gpax ⭐ 163
Gaussian Processes for Experimental Sciences
total releases 8most recent commit 3 months ago
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12most recent commit 3 years ago
Pytorch_ard ⭐ 70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
total releases 5most recent commit 2 years ago
Dun ⭐ 52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
most recent commit 3 years ago
Artificial_neural_networks ⭐ 35
A collection of Methods and Models for various architectures of Artificial Neural Networks
most recent commit 4 years ago
Variationalautoencoders ⭐ 17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
most recent commit 6 years ago
Pythonbrmltoolbox ⭐ 10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
most recent commit 6 years ago
Rate ⭐ 10
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
most recent commit 3 years ago
Understanding Bayesian Classification ⭐ 8
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
most recent commit 2 years ago
U Cam ⭐ 8
Visual Explanation using Uncertainty based Class Activation Maps
most recent commit 4 years ago
The 3 Latest Releases In Machine Learning Bayesian Neural Networks Open Source Projects
Gpax ⭐ 163
Gaussian Processes for Experimental Sciences
total releases 8latest release October 11, 2023most recent commit 3 months ago
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12latest release December 28, 2020most recent commit 3 years ago
Pytorch_ard ⭐ 70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
total releases 5latest release December 15, 2020most recent commit 2 years ago
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