Today we’ll dive into the theory and implementation of the Graph Attention Network (GAT). In a nutshell: attention rocks, graphs rock, GAT’s authors rock!
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This tutorial will show how to update the contract to save some data in the blockchain as well as how to inspect the blockchain to see our transactions.
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We will start by discussing what recommender systems are and what are their applications and benefits.
We will also compare the main techniques of building machine learning models for recommender systems and take a look at metrics and business evaluation techniques.
Finally, we are going to see how to choose these metrics for the required evaluation.
Star Admin (Free Version) admin dashboard designed by BootstrapDash and coded in Django Framework with SQLite database, ORM, authentication and deploy scripts for Docker, Gunicon and Heroku.
Designed based on the Bootstrap framework, Star Admin is a powerful, feature-rich, and super flexible admin dashboard template. It serves as the perfect starting point for both simple and complex web development projects.
Welcome to Web Code Tools; the best tools for web developers. Here, you’ll find code generators to help you with your front-end web projects.
If you don’t see something that you wish was here, send me an email and I’ll do my best to create a tool for you.
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TorchMetrics is a really nice and convenient library that lets us compute the performance of models in an iterative fashion. It’s designed with PyTorch (and PyTorch Lightning) in mind, but it is a general-purpose library compatible with other libraries and workflows.
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Vercel combines the best developer experience with an obsessive focus on end-user performance. Our platform enables frontend teams to do their best work.
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Deepchecks is the leading tool for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompanies you through various validation needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models.
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Physics-inspired continuous learning models on graphs allow to overcome the limitations of traditional GNNs
The message-passing paradigm has been the “battle horse” of deep learning on graphs for several years, making graph neural networks a big success in a…
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