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
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆94Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- ☆54Updated last year
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆46Updated 6 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- ☆59Updated 7 years 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 8 years ago
- ☆18Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Updated 3 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 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
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 6 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 6 years ago
- ☆64Updated 7 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 6 years ago