mdeff / ntds_2019Links
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
☆69Updated 5 years ago
Alternatives and similar repositories for ntds_2019
Users that are interested in ntds_2019 are comparing it to the libraries listed below
Sorting:
- Material for the EPFL master course "A Network Tour of Data Science", edition 2018.☆58Updated 5 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago
- Talks from Neil Lawrence☆54Updated last year
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 6 years ago
- Signal processing on graphs using torch_geometric.☆14Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 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 7 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2017.☆66Updated 5 years ago
- Deep learning course CE7454, 2018☆79Updated 5 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆76Updated 6 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- tutorials for MLSS 2019 Skoltech☆57Updated 5 years ago
- ☆32Updated 4 years ago
- 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
- Statistical Rethinking with PyTorch and Pyro☆164Updated 2 months ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 3 months ago
- Repo for tutorials☆13Updated 6 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆188Updated 3 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 5 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago