Implementing Bayes by Backprop
☆184Mar 25, 2019Updated 7 years ago
Alternatives and similar repositories for weight_uncertainty
Users that are interested in weight_uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 years ago
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 7 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,569Apr 19, 2024Updated last year
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 3 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆477Jul 6, 2023Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Jan 3, 2019Updated 7 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆122Nov 29, 2017Updated 8 years ago
- ☆238May 23, 2020Updated 5 years ago
- TensorFlow implementation of entropy SGD☆12Aug 9, 2018Updated 7 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,963Oct 20, 2023Updated 2 years ago
- Unofficial Experiments with AlgebraNets☆17Jun 17, 2020Updated 5 years ago
- MongoDB Browser for results created with the Sacred framework☆16May 22, 2019Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Dec 11, 2018Updated 7 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The collection of recent papers about variational inference☆84Nov 6, 2019Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 years ago
- Notes and codes of the topic "Bayesian deep learning"☆57Nov 30, 2018Updated 7 years ago
- experimental port of nervana neon kernels in OpenCL☆11Jul 24, 2016Updated 9 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆142Feb 16, 2018Updated 8 years ago
- ☆13Nov 21, 2016Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 10 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Dec 9, 2017Updated 8 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆230Jul 25, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆20Feb 8, 2026Updated last month
- imperative programming in TensorFlow☆18Dec 12, 2016Updated 9 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 6 years ago
- Lecture notes on Bayesian deep learning☆489Feb 11, 2018Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆314May 20, 2020Updated 5 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆15Dec 13, 2017Updated 8 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago