a repo sharing Bayesian Neural Network recent papers
☆217Aug 9, 2019Updated 6 years ago
Alternatives and similar repositories for BayesianNeuralNetwork
Users that are interested in BayesianNeuralNetwork are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 7 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,967Oct 20, 2023Updated 2 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Jul 1, 2019Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 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.
- Bayesian Deep Learning: A Survey☆522Oct 10, 2025Updated 8 months ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 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
- Sample code for running deterministic variational inference to train Bayesian neural networks☆103Oct 10, 2018Updated 7 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Dec 31, 2019Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 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.
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Bayesian Neural Network for Time Series Prediction☆15Jul 17, 2017Updated 8 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Dec 19, 2018Updated 7 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆133Jul 8, 2018Updated 7 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆37May 21, 2018Updated 8 years ago
- meta-learning research☆159Jul 31, 2021Updated 4 years ago
- The collection of recent papers about variational inference☆85Nov 6, 2019Updated 6 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 5 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.
- A curated list of AutoML papers/tutorials/slides etc.☆89May 31, 2019Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Sep 23, 2017Updated 8 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Oct 23, 2020Updated 5 years ago
- On the Dimensionality of Word Embedding☆327Jun 17, 2020Updated 6 years ago
- Implementation of the variational continual learning method☆197May 7, 2019Updated 7 years ago
- Neural Entity Typing with Language Model Enhancement☆18Dec 20, 2018Updated 7 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Mar 21, 2019Updated 7 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.
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated 10 months ago
- Collection of probabilistic models and inference algorithms☆239Apr 3, 2020Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Jan 5, 2017Updated 9 years ago
- Notebooks about Bayesian methods for machine learning☆1,918Mar 6, 2024Updated 2 years ago