Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
☆37May 21, 2018Updated 7 years ago
Alternatives and similar repositories for BayesianCNN
Users that are interested in BayesianCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interpreting Bayesian inference as continual learning with a CNN☆22Jun 15, 2018Updated 7 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆16Nov 12, 2019Updated 6 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- Hourglass shape network for remote sensing imagery semantic segmentation☆20Jun 4, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Jul 30, 2019Updated 6 years ago
- ☆17Jun 12, 2018Updated 7 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆32Apr 27, 2021Updated 5 years ago
- Convolutional Neural Network for Full-Reference color Image Quality Assessment☆16Jun 3, 2019Updated 6 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 8 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆103Oct 10, 2018Updated 7 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- PyTorch Implementation of TCSVT 2020 "Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks"☆24Mar 19, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆13Jan 15, 2026Updated 3 months ago
- Visual Scanpath Prediction using IOR-ROI Recurrent Mixture Density Network☆29May 31, 2021Updated 4 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆10May 8, 2018Updated 7 years ago
- use pytorch DeepBIQ and Proximal Policy Optimization(PPO) to search usb camera image quality param☆26Oct 28, 2017Updated 8 years ago
- model uncertainty using mc dropout☆21Mar 1, 2019Updated 7 years ago
- a repo sharing Bayesian Neural Network recent papers☆218Aug 9, 2019Updated 6 years ago
- PSF Estimation in Matlab, from Mosleh Blur Estimation paper☆20May 10, 2018Updated 7 years ago
- Spectral Super-resolution from Single RGB Image Using Multi-scale CNN☆22Jul 14, 2022Updated 3 years ago
- Factor Graph Framework for Distributed Machine and Reinforcement Learning☆10Apr 1, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆19May 18, 2024Updated last year
- Building a Bayesian deep learning classifier☆493Oct 30, 2017Updated 8 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆173Jun 27, 2019Updated 6 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?☆11Jan 3, 2019Updated 7 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Oct 3, 2023Updated 2 years ago
- Code repository for "Extending intraday solar forecast with deep generative models".☆26Jan 15, 2026Updated 3 months ago
- A curated list of awesome resources for salient object ranking (SOR)☆16Sep 28, 2025Updated 7 months ago
- ☆32May 19, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆13Apr 10, 2022Updated 4 years ago
- ☆45Nov 27, 2025Updated 5 months ago
- Paper "SeqRank: Sequential Ranking of Salient Objects" is accepted in AAAI-24.☆11Jun 12, 2024Updated last year
- No-Reference Video Quality Assessment Using Natural Spatiotemporal Scene Statistics☆15May 30, 2020Updated 5 years ago
- Full Python implementation of the Heston pricing algorithm developed in the article by Leif Anderson and Mark Lake in their article Robus…☆22Jun 28, 2020Updated 5 years ago
- Adversarial Structure Matching for Structured Prediction Tasks☆11Jun 4, 2024Updated last year
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Jan 21, 2013Updated 13 years ago