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
- Signal processing on graphs using torch_geometric.☆14Updated 2 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.☆130Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2017.☆66Updated 5 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆76Updated 6 years ago
- Repo for tutorials☆13Updated 6 years ago
- Papers on Topology + Learning.☆14Updated 5 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 5 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
- ☆32Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- ☆20Updated 4 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆50Updated 2 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Integrate pytorch☆46Updated 4 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- ☆16Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 5 years ago
- ☆32Updated 6 years ago
- Learning Tree structures and Tree metrics☆23Updated 10 months ago
- Repo for open sourcing the NAMs.☆25Updated 4 years ago