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Search results for python bayesian neural networks
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31 search results found
Uncertainty Toolbox
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1,421
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Pytorch Bayesiancnn
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1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Blitz Bayesian Deep Learning
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817
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Bayesian Torch
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396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Gpax
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163
Gaussian Processes for Experimental Sciences
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Bayesde
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101
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Bgcn
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72
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Pytorch_ard
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70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
Noisynaturalgradient
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56
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
Ustring
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52
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
Spatial Smoothing
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51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Lightning Uq Box
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35
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Bnn
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34
Bayesian Neural Network in PyTorch
Ocbnn Public
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27
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
Supernnova
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26
Open Source Photometric classification https://supernnova.readthedocs.io
Noisy K Fac
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20
Natural Gradient, Variational Inference
Hip Mdp Public
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19
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
Combinet
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16
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Quantised Bayesian Nets
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16
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Scalablebdl
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15
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
Bayesianneuralnets
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13
Bayesian neural networks in PyTorch
Safeai
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12
Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras
Pythonbrmltoolbox
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10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Bayesiannn
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9
Implementing a bayesian neural network in TensorFlow
Bayesnn_fpga
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9
FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.
U Cam
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8
Visual Explanation using Uncertainty based Class Activation Maps
Deep Bayesian Self Training
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7
Deep Bayesian Self-Training [official implementation]
Baobab
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6
Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks
Bssc Net
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5
This is a PyTorch implementation of a Bayesian Convolutional Neural Network (BCNN) for Semantic Scene Completion on the SUNCG dataset. Given a depth image the network outputs a semantic segmentation and entropy score in 3D voxel format.
Tf Bgd
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5
Bayesian Gradient Descent Algorithm Model for TensorFlow
H0rton
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5
Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant
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1-31 of 31 search results
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