mdeff / ntds_2017Links
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
☆65Updated 5 years ago
Alternatives and similar repositories for ntds_2017
Users that are interested in ntds_2017 are comparing it to the libraries listed below
Sorting:
- Material for the EPFL master course "A Network Tour of Data Science", edition 2018.☆59Updated 5 years ago
 - Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆99Updated 5 years ago
 - Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
 - The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
 - Deep Markov Models☆132Updated 6 years ago
 - Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 5 years ago
 - Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
 - NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
 - Tools for loading standard data sets in machine learning☆205Updated 3 years ago
 - Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago
 - ☆30Updated 5 years ago
 - Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
 - Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
 - Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
 - Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
 - Variational Fourier Features☆85Updated 4 years ago
 - Structure learning for sparse graphs with latent variables☆44Updated 8 years ago
 - Dirichlet Process K-means☆48Updated last year
 - Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)☆36Updated 3 years ago
 - An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
 - A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
 - Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
 - RelNN is a novel first-order deep neural model for relational learning.☆28Updated 7 years ago
 - Gaussian Processes in Pytorch☆75Updated 5 years ago
 - Variational inference for Gaussian mixture models☆35Updated 12 years ago
 - A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
 - Edward content including papers, posters, and talks☆92Updated 5 years ago
 - ☆66Updated 5 years ago
 - Graph kernels☆55Updated 3 years ago
 - A Python convex optimization package using proximal splitting methods☆117Updated last month