piEsposito / blitz-bayesian-deep-learningLinks
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
☆970Updated last year
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]☆539Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆615Updated 4 months ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,525Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,918Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,524Updated 2 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆630Updated 3 years ago
- Laplace approximations for Deep Learning.☆515Updated 4 months ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆661Updated 2 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,921Updated 5 months ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆575Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆471Updated 2 years ago
- ☆238Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆491Updated 3 years ago
- Bayesian Deep Learning: A Survey☆520Updated 2 months ago
- Building a Bayesian deep learning classifier☆489Updated 7 years ago
- Papers for Bayesian-NN☆325Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆561Updated 4 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆134Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆445Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆313Updated 6 years ago
- A simple probabilistic programming language.☆699Updated last month
- Library of autoencoders for sequential data☆446Updated last year
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,004Updated 4 years ago
- A Library for Uncertainty Quantification.☆921Updated 4 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆226Updated 10 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆933Updated 2 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,518Updated last year