soroosh-rz / Bayesian-Methods-for-Machine-Learning
Bayesian Methods for Machine Learning
☆64Updated 5 years ago
Alternatives and similar repositories for Bayesian-Methods-for-Machine-Learning:
Users that are interested in Bayesian-Methods-for-Machine-Learning are comparing it to the libraries listed below
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Dropout as Regularization and Bayesian Approximation☆57Updated 6 years ago
- legend☆198Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆63Updated 3 months ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 2 years ago
- An implementation of Restricted Boltzmann Machine in Pytorch☆52Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- ☆39Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- ☆234Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆311Updated 6 years ago
- ☆62Updated 3 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Play time!☆197Updated 6 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 4 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆85Updated 3 weeks ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆63Updated 4 years ago