IntelLabs / bayesian-torchLinks
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
☆615Updated 4 months ago
Alternatives and similar repositories for bayesian-torch
Users that are interested in bayesian-torch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of bayesian neural network [torchbnn]☆539Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆970Updated last year
- Laplace approximations for Deep Learning.☆515Updated 4 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆424Updated this week
- 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
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆630Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,525Updated last year
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆491Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆226Updated 10 months ago
- ☆152Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,524Updated 2 months ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,918Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆722Updated this week
- ☆238Updated 5 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆471Updated 2 years ago
- ☆109Updated 4 years ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆933Updated 2 months ago
- A hello world Bayesian Neural Network project on MNIST☆46Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆102Updated 2 weeks ago
- A Library for Uncertainty Quantification.☆921Updated 4 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- PyTorch implementation of normalizing flow models☆871Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆194Updated this week
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆575Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆445Updated 2 years ago