kumar-shridhar / PyTorch-BayesianCNNLinks
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
☆1,525Updated last year
Alternatives and similar repositories for PyTorch-BayesianCNN
Users that are interested in PyTorch-BayesianCNN are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,917Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆538Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆970Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆614Updated 4 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆630Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆573Updated 3 years ago
- Building a Bayesian deep learning classifier☆489Updated 7 years ago
- Bayesian Deep Learning: A Survey☆520Updated 2 months ago
- Papers for Bayesian-NN☆325Updated 6 years ago
- ☆237Updated 5 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆313Updated 6 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆470Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,524Updated 2 months ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Notebooks about Bayesian methods for machine learning☆1,877Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆133Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,756Updated 2 weeks ago
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- Laplace approximations for Deep Learning.☆515Updated 4 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆456Updated 11 months ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Gaussian mixture models in PyTorch.☆570Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆823Updated 4 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,922Updated 5 months ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆709Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆491Updated 3 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago