Alternatives and similar repositories for ntds_2019:

Users that are interested in ntds_2019 are comparing it to the libraries listed below

• mdeff / ntds_2018
  Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
  ☆57Updated 5 years ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆66Updated 6 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 6 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 6 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆47Updated 3 years ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆59Updated 3 years ago
• mdeff / ntds_2017
  Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
  ☆67Updated 4 years ago
• epfml / opt-summerschool
  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
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆63Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• henripal / sgld
  ☆59Updated 5 years ago
• yassersouri / pytorch-deep-sets
  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
  ☆68Updated 6 years ago
• aGIToz / Graph_Signal_Processing
  Signal processing on graphs using torch_geometric.
  ☆14Updated 2 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• epfml / opt-shortcourse
  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
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆73Updated 5 years ago
• vermaMachineLearning / keras-deep-graph-learning
  Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
  ☆103Updated 2 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆61Updated 5 years ago
• rflamary / OTML_Statlearn2018
  Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
  ☆26Updated 6 years ago
• idelbrid / Randomly-Projected-Additive-GPs
  Code for Randomly Projected Additive Gaussian Processes
  ☆25Updated 5 years ago
• lordgrilo / AML-days-TDA-tutorial
  ☆29Updated 5 years ago
• chrisorm / pydata-2018
  ☆63Updated 6 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆67Updated 5 years ago
• melifluos / Hyperbolic-Embedding
  Learning neural network embeddings in hyperbolic spaces
  ☆14Updated 5 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• OxML2020 / practicals
  ☆32Updated 4 years ago
• epfl-ada-2018 / ADA2018-Tutorials
  Repo for tutorials
  ☆13Updated 5 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 5 years ago