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
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆48Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- legend☆200Updated last year
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆85Updated 6 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 5 months ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- ☆236Updated 4 years ago
- ☆273Updated 4 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆86Updated 2 months ago
- Dropout as Regularization and Bayesian Approximation☆58Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆177Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- ☆153Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 4 years ago
- A hello world Bayesian Neural Network project on MNIST☆43Updated 3 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…☆55Updated 4 years ago