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The Top 23 Bayesian Neural Networks Open Source Projects

Open source projects categorized as Bayesian Neural Networks
Categories > Bayesian Neural Networks
Turing.jl ⭐ 1,925
Bayesian inference with probabilistic programming.
most recent commit 3 months ago
Bayesian Neural Networks ⭐ 1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 6 months ago
Uncertainty Toolbox ⭐ 1,421
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
total releases 1most recent commit a year ago
Awesome Normalizing Flows ⭐ 1,232
Awesome resources on normalizing flows.
most recent commit 4 months ago
Pytorch Bayesiancnn ⭐ 1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
most recent commit a year ago
Blitz Bayesian Deep Learning ⭐ 817
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
dependent packages 3total releases 8most recent commit 7 months agopypi blitz-bayesian-pytorch} Downloads
Bayesian Torch ⭐ 396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3most recent commit 4 months agopypi bayesian-torch} Downloads
Master Thesis Bayesiancnn ⭐ 197
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
most recent commit 5 years 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
Bayesde ⭐ 101
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
most recent commit 2 years ago
Uq_bnn ⭐ 79
Uncertainty quantification using Bayesian neural networks in classification
most recent commit 5 years ago
Bgcn ⭐ 72
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
most recent commit 5 years ago
Pytorch_ard ⭐ 70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
total releases 5most recent commit 2 years ago
Noisynaturalgradient ⭐ 56
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
most recent commit 5 years ago
Bayesbyhypernet ⭐ 55
Code for the paper Implicit Weight Uncertainty in Neural Networks
most recent commit 4 years ago
Dun ⭐ 52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
most recent commit 3 years ago
Ustring ⭐ 52
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
most recent commit 8 months ago
Spatial Smoothing ⭐ 51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
most recent commit 2 years ago
Lightning Uq Box ⭐ 35
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
most recent commit 3 months ago
Artificial_neural_networks ⭐ 35
A collection of Methods and Models for various architectures of Artificial Neural Networks
most recent commit 4 years ago
Bnn ⭐ 34
Bayesian Neural Network in PyTorch
most recent commit 5 years ago
Ocbnn Public ⭐ 27
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
most recent commit 3 years ago
The 2 Most Depended On Bayesian Neural Networks Open Source Projects
Blitz Bayesian Deep Learning ⭐ 817
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
dependent packages 3total releases 8latest release April 15, 2022most recent commit 7 months agopypi blitz-bayesian-pytorch} Downloads
Bayesian Torch ⭐ 396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3latest release December 14, 2022most recent commit 4 months agopypi bayesian-torch} Downloads
The 9 Latest Releases In 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
Bayesian Torch ⭐ 396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3latest release December 14, 2022most recent commit 4 months agopypi bayesian-torch} Downloads
Supernnova ⭐ 26
Open Source Photometric classification https://supernnova.readthedocs.io
total releases 9latest release September 26, 2022most recent commit 3 months ago
Blitz Bayesian Deep Learning ⭐ 817
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
dependent packages 3total releases 8latest release April 15, 2022most recent commit 7 months agopypi blitz-bayesian-pytorch} Downloads
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
H0rton ⭐ 5
Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant
total releases 1latest release December 01, 2020most recent commit 3 years ago
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