mlss-skoltech / tutorials
repository with the tutorials for MLSS Skoltech
☆67Updated 5 years ago
Alternatives and similar repositories for tutorials:
Users that are interested in tutorials are comparing it to the libraries listed below
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- tutorials for MLSS 2019 Skoltech☆57Updated 4 years ago
- ☆82Updated last year
- Graduate topics course on learning discrete latent structure.☆67Updated 6 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
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆51Updated 5 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- ☆59Updated 6 years ago
- Presentations of the advanced topics in optimization☆11Updated 5 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- ☆15Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆94Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 4 years ago
- ☆26Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago