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51 search results found

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Bayesian Neural Networks ⭐ 1,633

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Uncertainty Toolbox ⭐ 1,421

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Awesome Normalizing Flows ⭐ 1,232

Awesome resources on normalizing flows.

Pytorch Bayesiancnn ⭐ 1,181

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Blitz Bayesian Deep Learning ⭐ 817

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Gaussian Processes for Experimental Sciences

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Bayesde ⭐ 101

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Uncertainty quantification using Bayesian neural networks in classification

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Pytorch_ard ⭐ 70

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

Noisynaturalgradient ⭐ 56

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

Spatial Smoothing ⭐ 51

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Lightning Uq Box ⭐ 35

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

Bayesian Neural Network in PyTorch

Ocbnn Public ⭐ 27

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

Supernnova ⭐ 26

Open Source Photometric classification https://supernnova.readthedocs.io

Noisy K Fac ⭐ 20

Natural Gradient, Variational Inference

Hip Mdp Public ⭐ 19

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Combinet ⭐ 16

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Bayesian Neural Networks Reading List ⭐ 16

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Quantised Bayesian Nets ⭐ 16

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

Temporal Smoothing ⭐ 16

(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation

Scalablebdl ⭐ 15

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

Bayesianneuralnets ⭐ 13

Bayesian neural networks in PyTorch

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Deepstats ⭐ 12

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Humbugdb ⭐ 10

Acoustic mosquito detection code with Bayesian Neural Networks

Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures

Bayesiannn ⭐ 9

Implementing a bayesian neural network in TensorFlow

Bayesnn_fpga ⭐ 9

FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Understanding Bayesian Classification ⭐ 8

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Visual Explanation using Uncertainty based Class Activation Maps

A BCNN prediction pipeline to discover mosquito sounds from audio.

Deep Bayesian Self Training ⭐ 7

Deep Bayesian Self-Training [official implementation]

Arch_uncert ⭐ 6

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

Pfedbayes ⭐ 5

Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]

Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant

Bayesian Gradient Descent Algorithm Model for TensorFlow

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.

1-51 of 51 search results

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