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 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Updated 6 years ago
- ☆54Updated 11 months ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- ☆26Updated 6 years ago
- ☆18Updated 5 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆59Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆29Updated 3 years ago
- ☆30Updated 2 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago