epfml / opt-summerschoolLinks
Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Paris, France
☆20Updated 6 years ago
Alternatives and similar repositories for opt-summerschool
Users that are interested in opt-summerschool are comparing it to the libraries listed below
Sorting:
- 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 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- repository with the tutorials for MLSS Skoltech☆66Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- ☆54Updated last year
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Updated 7 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- ☆59Updated 6 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- ☆18Updated 5 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- ☆276Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year