Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- Graph Neural Networks - An overview | AI Summer https://theaisummer.com/Graph_Neural_Networks/ 28 comments
- GitHub - Mybridge/amazing-machine-learning-opensource-2019: Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019) https://github.com/Mybridge/amazing-machine-learning-opensource-2019 3 comments
- GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch https://github.com/pyg-team/pytorch_geometric 1 comment
- Introduction to Graph Neural Networks | by Nikita Sharma | Heartbeat https://heartbeat.fritz.ai/introduction-to-graph-neural-networks-c5a9f4aa9e99 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
- 2018 Year-in-Review: Machine Learning Open Source Projects & Frameworks | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/2018-year-in-review-machine-learning-open-source-projects-frameworks-430df2fe18cd 0 comments
- GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch https://github.com/rusty1s/pytorch_geometric 0 comments
- State of Deep Learning : H2 2018 Review | by Ross Taylor | Atlas ML | Medium https://medium.com/atlas-ml/state-of-deep-learning-h2-2018-review-cc3e490f1679 0 comments
- Sotawhat, Dynamic Meta-Embeddings, Journal, Fairness in ML Course, GraphNets, NLP Overview Paper, Medical Torch,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/sotawhat-dynamic-meta-embeddings-journal-fairness-in-ml-course-graphnets-nlp-overview-paper-4a02f93dba2c 0 comments
Linked pages
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- Google Colab https://colab.research.google.com/#scrollTo=Nma_JWh-W-IF 25 comments
- [1806.01261] Relational inductive biases, deep learning, and graph networks https://arxiv.org/abs/1806.01261 2 comments
- GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch https://github.com/rusty1s/pytorch_geometric 0 comments
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