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:
- code release for the NIPS 2016 paper☆28Oct 21, 2016Updated 9 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
- 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
- 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.
- ☆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
- This repo is for residual-connected sentence encoder for NLI.☆11Jan 21, 2018Updated 8 years ago
- Implementation of REBAR in PyTorch☆17Jul 18, 2018Updated 8 years ago
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 10 years ago
- A list of notes on Bayesian deep learning papers☆53Aug 6, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 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☆104Oct 10, 2018Updated 7 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
- ☆14May 24, 2018Updated 8 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning☆15Jan 21, 2019Updated 7 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.
- ☆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
- 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
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆20Jul 13, 2023Updated 3 years ago
- Annotation UI for HOI detection☆16Jun 10, 2024Updated 2 years ago
- Bayesian inference for Gaussian mixture model with some novel algorithms☆53May 28, 2018Updated 8 years ago
- Code for L0-ARM: Network Sparsification via Stochastic Binary Optimization☆15Oct 25, 2019Updated 6 years ago
- This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part☆15Oct 9, 2020Updated 5 years ago
- Bayesian Black Box Hyper Parameter Optimizer☆12May 3, 2017Updated 9 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago