Bayesianize: A Bayesian neural network wrapper in pytorch
☆92May 14, 2024Updated last year
Alternatives and similar repositories for bayesianize
Users that are interested in bayesianize are comparing it to the libraries listed below
Sorting:
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Nov 16, 2022Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Jul 1, 2021Updated 4 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 2 years ago
- Laplace approximations for Deep Learning.☆535Apr 22, 2025Updated 10 months ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- A Bayesian Neural Network with a horseshoe prior for improved interpretability☆60Jun 27, 2023Updated 2 years ago
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 years ago
- ☆10Sep 9, 2023Updated 2 years ago
- This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.☆15Sep 29, 2021Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,568Apr 19, 2024Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Nov 13, 2022Updated 3 years ago
- ☆193Jan 9, 2026Updated 2 months ago
- ☆13Mar 16, 2019Updated 7 years ago
- A library for uncertainty quantification based on PyTorch☆120Jan 10, 2022Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 2 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆26Jul 30, 2024Updated last year
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆554Jul 25, 2024Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,960Oct 20, 2023Updated 2 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- Neat Bayesian machine learning examples☆58Feb 10, 2026Updated last month
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- ☆157Sep 15, 2022Updated 3 years ago
- NumPy library for calibration metrics☆74Feb 24, 2026Updated 3 weeks ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆59Nov 1, 2023Updated 2 years ago
- ☆252Dec 27, 2022Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Dec 6, 2022Updated 3 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Oct 18, 2021Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated last year