piEsposito / blitz-bayesian-deep-learningLinks
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
☆978Updated 2 years ago
Alternatives and similar repositories for blitz-bayesian-deep-learning
Users that are interested in blitz-bayesian-deep-learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of bayesian neural network [torchbnn]☆553Updated last year
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,562Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,952Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,565Updated last week
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆508Updated 4 years ago
- ☆239Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Updated 2 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,976Updated 11 months ago
- Laplace approximations for Deep Learning.☆534Updated 9 months ago
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Bayesian Deep Learning: A Survey☆520Updated 4 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆465Updated last year
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆316Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- ☆156Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,015Updated 5 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆584Updated 5 years ago
- A simple probabilistic programming language.☆707Updated last month
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Updated 3 weeks ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆697Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆252Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆140Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- Conformalized Quantile Regression☆302Updated last week
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Normalizing flows in PyTorch☆991Updated last year
- A Library for Uncertainty Quantification.☆924Updated 9 months ago