AI Summer

Speech Recognition: a review of the different deep lear...

Explore the most popular deep learning architecture to perform automatic speech ...

Grokking self-supervised (representation) learning: how...

A general perspective on understanding self-supervised representation learning m...

Understanding Maximum Likelihood Estimation in Supervis...

This article demystifies the ML learning modeling process under the prism of sta...

Neural Architecture Search (NAS): basic principles and ...

Explore what is neural architecture search, compare the most popular,SOTA method...

Best AI and Deep learning books to read in 2022

A list of the top books to learn deep learning divided into four distinct catego...

3D Medical image segmentation with transformers tutorial

Implement a UNETR to perform 3D medical image segmentation on the BRATS dataset

Spiking Neural Networks: where neuroscience meets artif...

Discorver how to formulate and train Spiking Neural Networks (SNNs) using the LI...

Transformers in computer vision: ViT architectures, tip...

Learn all there is to know about transformer architectures in computer vision, a...

BYOL tutorial: self-supervised learning on CIFAR images...

Implement and understand byol, a self-supervised computer vision method without ...

How distributed training works in Pytorch: distributed ...

Learn how distributed training works in pytorch: data parallel, distributed data...

Self-supervised learning tutorial: Implementing SimCLR ...

Learn how to implement the infamous contrastive self-supervised learning method ...

Vision Language models: towards multi-modal deep learning

A review of state of the art vision-language models such as CLIP, DALLE, ALIGN a...

ICCV 2023 top papers, general trends, and personal picks

Do you want to learn all the latest state-of-the-art methods of the last year? L...

A complete Apache Airflow tutorial: building data pipel...

Learn about Apache Airflow and how to use it to develop, orchestrate and maintai...

Understanding Vision Transformers (ViTs): Hidden proper...

We study the learned visual representations of CNNs and ViTs, such as texture bi...

Learn Pytorch: Training your first deep learning models...

This blogpost is about starting learning pytorch with a hands on tutorial on ima...

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