IntelLabs / bayesian-torchLinks
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
☆621Updated 5 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]☆542Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆972Updated last year
- Laplace approximations for Deep Learning.☆517Updated 4 months ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆135Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆428Updated last week
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,531Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆493Updated 4 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,925Updated last year
- ☆238Updated 5 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆232Updated 10 months ago
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 3 years ago
- ☆152Updated 3 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆729Updated 3 weeks ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆472Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,532Updated 3 months ago
- A hello world Bayesian Neural Network project on MNIST☆47Updated 3 years ago
- ☆110Updated 4 years ago
- Bayesian Deep Learning: A Survey☆520Updated 2 months ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆575Updated 3 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆365Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆448Updated 2 weeks ago
- An Intuitive Tutorial to Gaussian Processes Regression☆641Updated last year
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆196Updated last week