Alternatives and similar repositories for gnn_workshop_riiaa

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

• bereml / riiaa-20-mtl
  Materiales del taller de Meta Aprendizaje de la RIIAA 2020.
  ☆13Updated 4 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated 8 months ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆100Updated 2 years ago
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆39Updated 3 years ago
• jundeli / quantum-gan
  PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
  ☆89Updated 9 months ago
• eemlcommunity / PracticalSessions2021
  ☆62Updated 3 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆68Updated 5 years ago
• napoles-uach / streamlit_apps
  For Streamlit Share proyects
  ☆22Updated 3 years ago
• KacperKubara / ml-cookbook
  Machine learning notebooks and code used for demonstration purposes
  ☆24Updated 4 years ago
• stellargraph / stellar-practical-ml-on-graphs
  Course titled Practical Machine Learning on Graphs
  ☆44Updated 4 years ago
• telecombcn-dl / lectures-all
  Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.
  ☆54Updated 2 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
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆58Updated last year
• rweng18 / midsummer_network
  Creating character network graphs
  ☆38Updated 5 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆112Updated 3 years ago
• mlund / jupyter-course
  Jupyter Course
  ☆18Updated 2 years ago
• beyondbeneath / bezier-curved-edges-networkx
  Function to produce Bezier curves for the edges in a NetworkX graph
  ☆61Updated 5 years ago
• cvicom / deep_learning_escuela_verano_19
  Entorno, notebooks y codigo para la escuela de verano de Deep Learning @UNAM '19
  ☆11Updated 5 years ago
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆81Updated 4 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated last year
• ilia10000 / LO-Shot
  Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
  ☆86Updated 9 months ago
• Machine-Learning-Tokyo / practical-ml-implementations
  ML implementations for practical use
  ☆15Updated 5 years ago
• blancavazquez / CursoDatosMasivosI
  Diapositivas, ejercicios, código de ejemplo y página del curso de Datos Masivos para la licenciatura de Ciencia de Datos
  ☆19Updated 3 years ago
• christinakouridi / scratchML
  Implementation of Machine Learning algorithms from scratch in Python
  ☆34Updated 5 years ago
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 5 years ago
• chembl / autoencoder_ipython
  Ipython notebook for blog post entry
  ☆12Updated 7 years ago
• AIcrowd / learning-to-smell-starter-kit
  ☆10Updated 4 years ago
• ftheberge / Ensemble-Clustering-for-Graphs
  Code, notebooks and examples with ECG: Ensemble Clustering for Graphs
  ☆32Updated 3 years ago
• IngoScholtes / csh2018-tutorial
  Tutorial on Higher-Order Data Analytics for Complexity Science Hub
  ☆9Updated 6 years ago