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How to develop and train a Transformer with JAX, Haiku and Optax. Learn by examp...
What is Explainable Artificial Intelligence (XAI), what are the most popular met...
An introduction to JAX, its best features alongside with code snippets for you t...
Learn about the Hugging Face ecosystem with a hands-on tutorial on the datasets ...
Discover what is regularization, why it is necessary in deep neural networks and...
Learn about the SOTA recommender system models. From collaborative filtering and...
Explore the most popular deep learning models to perform text to speech (TTS) sy...
A tutorial on how to get started with Tensorflow Extended and how to design and ...
Learn everything about one of the most famous convolutional neural network archi...
Start with Graph Neural Networks from zero and implement a graph convolutional l...
Explore the most popular deep learning architecture to perform automatic speech ...
A general perspective on understanding self-supervised representation learning m...
Learn about the Weights and Biases library with a hands-on tutorial on the diffe...
A curated list of the best courses, books and blog to learn computer vision with...
A list of the top books to learn deep learning divided into four distinct catego...
Implement a UNETR to perform 3D medical image segmentation on the BRATS dataset
Discorver how to formulate and train Spiking Neural Networks (SNNs) using the LI...
Learn all there is to know about transformer architectures in computer vision, a...
A mathematical explanation of the Swapping Assignments Between Views (SWAV) paper.
Explore the most popular gnn architectures such as gcn, gat, mpnn, graphsage and...
A self-complete guide for understanding biology concepts that are necessary for ...
Implement and understand byol, a self-supervised computer vision method without ...
Learn how distributed training works in pytorch: data parallel, distributed data...
Learn how to implement the infamous contrastive self-supervised learning method ...