Code for the paper Implicit Weight Uncertainty in Neural Networks
☆66Nov 14, 2019Updated 6 years ago
Alternatives and similar repositories for BayesByHypernet
Users that are interested in BayesByHypernet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 6 years ago
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Jan 16, 2018Updated 8 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.
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Jan 5, 2017Updated 9 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 6 years ago
- ☆69May 26, 2018Updated 8 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- ☆13Jul 3, 2016Updated 10 years ago
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Dec 15, 2017Updated 8 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Apr 12, 2022Updated 4 years ago
- This repo is for residual-connected sentence encoder for NLI.☆11Jan 21, 2018Updated 8 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.
- Implementation of REBAR in PyTorch☆17Jul 18, 2018Updated 8 years ago
- Classification uncertainty using Bayesian neural networks☆34Jun 28, 2016Updated 10 years ago
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆105Oct 10, 2018Updated 8 years ago
- Meeting repo for likelihood free inference meeting☆14Oct 6, 2022Updated 4 years ago
- A Low-level first-order probabilistic programming language, with in built translation constraints for automatic model checking. A flexibl…☆14Apr 16, 2019Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231May 6, 2018Updated 8 years ago
- AI Agents on 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.
- ☆14May 24, 2018Updated 8 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning☆15Jan 21, 2019Updated 7 years ago
- ☆12Dec 15, 2020Updated 5 years ago
- ☆17Jan 5, 2018Updated 8 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Dec 11, 2018Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆20Jul 13, 2023Updated 3 years ago
- Bayesian inference for Gaussian mixture model with some novel algorithms☆53May 28, 2018Updated 8 years ago