pawni / BayesByHypernetView external linksLinks
Code for the paper Implicit Weight Uncertainty in Neural Networks
☆65Nov 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
Sorting:
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- code release for the NIPS 2016 paper☆27Oct 21, 2016Updated 9 years ago
- Code release for the ICLR paper☆21Jun 13, 2018Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 5 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Dec 15, 2017Updated 8 years ago
- Annotation UI for HOI detection☆16Jun 10, 2024Updated last year
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Nov 8, 2018Updated 7 years ago
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 9 years ago
- Implementation of REBAR in PyTorch☆17Jul 18, 2018Updated 7 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Jan 16, 2018Updated 8 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 5 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Dec 11, 2018Updated 7 years ago
- This repo is for residual-connected sentence encoder for NLI.☆11Jan 21, 2018Updated 8 years ago
- Question Dependent Recurrent Entity Network☆13Sep 21, 2017Updated 8 years ago
- ☆69May 26, 2018Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Apr 29, 2019Updated 6 years ago
- Papers for Bayesian-NN☆326Jun 25, 2019Updated 6 years ago
- Building a Bayesian deep learning classifier☆493Oct 30, 2017Updated 8 years ago
- ☆13Mar 11, 2018Updated 7 years ago
- record and share my reading everyday☆12Apr 1, 2016Updated 9 years ago
- A list of notes on Bayesian deep learning papers☆53Aug 6, 2022Updated 3 years ago
- Link Prediction using Knowledge Embedding in Tensorflow☆13Nov 10, 2016Updated 9 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233May 6, 2018Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- ConvWave Searching for Gravitational Waves with Fully Convolutional Neural Nets☆14May 22, 2019Updated 6 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- Introduction to TensorFlow Machine Learning Meetup Barcelona☆13Jul 17, 2016Updated 9 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- a fully-differentiable graphical raytracer☆15Jul 29, 2015Updated 10 years ago
- ☆12Dec 15, 2020Updated 5 years ago
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- ☆22Jun 22, 2016Updated 9 years ago
- Code and data related to "Efficient, Compositional, Order-Sensitive n-gram Embeddings" (EACL 2017)☆15Apr 6, 2017Updated 8 years ago
- ADS Project☆14Dec 30, 2015Updated 10 years ago