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 8 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:
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 6 years ago
- Talks from Neil Lawrence☆54Updated 2 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆47Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆70Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆184Updated 7 years ago
- https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…☆54Updated last year
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- ☆24Updated 9 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated 2 months ago
- ☆12Updated 8 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- ProbML: Symposium on Probabilistic Machine Learning☆50Updated this week
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Python implementation of the Iterative Classification Algorithm☆35Updated 9 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆29Updated last year
- notes on ML/CS/etc articles☆47Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Updated 5 years ago
- ☆11Updated 9 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 6 years ago