JavierAntoran / Bayesian-Neural-NetworksLinks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
☆1,951Updated 2 years ago
Alternatives and similar repositories for Bayesian-Neural-Networks
Users that are interested in Bayesian-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,554Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆552Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆978Updated 2 years ago
- Bayesian Deep Learning: A Survey☆518Updated 3 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,557Updated 3 weeks ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆637Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆577Updated 3 years ago
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- ☆239Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,010Updated 4 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆476Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 7 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆838Updated 4 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆139Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,816Updated last week
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆835Updated 5 years ago
- A simple probabilistic programming language.☆704Updated 4 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,366Updated last year
- Awesome resources on normalizing flows.☆1,601Updated 6 months ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Notebooks about Bayesian methods for machine learning☆1,908Updated last year
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆503Updated 4 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,963Updated 10 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆462Updated last year
- Laplace approximations for Deep Learning.☆531Updated 8 months ago
- A simple way to calibrate your neural network.☆1,168Updated 5 months ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago