" Weight Uncertainty in Neural Networks"
☆49Jan 31, 2018Updated 8 years ago
Alternatives and similar repositories for bayes-by-backprop
Users that are interested in bayes-by-backprop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆175Apr 12, 2022Updated 4 years ago
- ☆13Nov 21, 2016Updated 9 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Mar 23, 2015Updated 11 years ago
- TensorFlow Probability Tutorial☆38Oct 17, 2019Updated 6 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,969Oct 20, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆41Apr 11, 2019Updated 7 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 6 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆982Sep 25, 2023Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Implementing Bayes by Backprop☆183Mar 25, 2019Updated 7 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆20Jan 4, 2024Updated 2 years ago
- ☆17Oct 6, 2020Updated 5 years ago
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 4 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Visualises an ellipsoid in 3d given a mean and covariance matrix from a dataset.☆13Oct 28, 2018Updated 7 years ago
- ☆12Jun 2, 2018Updated 8 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆582Feb 26, 2022Updated 4 years ago
- LightProbNets☆26Nov 20, 2019Updated 6 years ago
- Code for the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 5 years ago
- Uncertainty estimation on Mnist dataset☆23Jan 13, 2018Updated 8 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 7 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆479Jul 6, 2023Updated 3 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 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.
- PyTorch implementation of 'Weight Uncertainty in Neural Networks'☆19Jun 30, 2020Updated 6 years ago
- Implementation of Stochastic Gradient Langevin Dynamics☆13Sep 29, 2018Updated 7 years ago
- pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…☆22Nov 20, 2020Updated 5 years ago
- ☆59Feb 7, 2019Updated 7 years ago
- Dropout as Regularization and Bayesian Approximation☆57Nov 17, 2018Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆30Feb 5, 2024Updated 2 years ago
- Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)☆13Sep 19, 2022Updated 3 years ago
- Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning☆13Sep 6, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆11Aug 11, 2016Updated 10 years ago
- Variational Multiscale Incompressible Navier--Stokes Toolkit☆13Dec 22, 2022Updated 3 years ago
- Improving transparency of large language models' reasoning☆15Nov 25, 2025Updated 9 months ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- ☆239May 23, 2020Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- Bayesian Methods for Machine Learning☆65Jun 27, 2019Updated 7 years ago