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:
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 8 years ago
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,574Apr 19, 2024Updated 2 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 8 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 9 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- ☆41Apr 11, 2019Updated 7 years ago
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 3 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆50Jan 3, 2019Updated 7 years ago
- ☆64Apr 25, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,979Oct 20, 2023Updated 3 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆122Nov 29, 2017Updated 8 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25May 1, 2019Updated 7 years ago
- TensorFlow implementation of entropy SGD☆12Aug 9, 2018Updated 8 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆562May 16, 2026Updated 5 months ago
- Sources for the MATLAB implementation of RMHMC using Newton-Raphson steady state finding and linear equation sensitivity analysis☆10May 27, 2014Updated 12 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Dec 11, 2018Updated 7 years ago
- A Graph Neural Network (Geometric machine learning) for molecular generation☆21Aug 12, 2019Updated 7 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆708Oct 4, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 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 10 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Jun 3, 2018Updated 8 years ago
- ☆13Nov 21, 2016Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- ☆20Feb 8, 2026Updated 8 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 7 years ago
- imperative programming in TensorFlow☆18Dec 12, 2016Updated 9 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Dec 9, 2017Updated 8 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,445Updated this week
- 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
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 6 years ago