epfml / opt-shortcourseLinks
Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 2017, Zürich, Switzerland
☆18Updated 7 years ago
Alternatives and similar repositories for opt-shortcourse
Users that are interested in opt-shortcourse are comparing it to the libraries listed below
Sorting:
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 5 years ago
- ☆12Updated 8 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆44Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆26Updated 6 years ago
- Active Learning: Predictors, Recommenders and Labellers☆20Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- ☆30Updated 3 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- ☆24Updated 8 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago