xLSTM: Extended Long Short-Term Memory

Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)

RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

Long Short-Term Memory (LSTM), Clearly Explained

Flow Matching for Generative Modeling (Paper Explained)

Scalable MatMul-free Language Modeling (Paper Explained)

TransformerFAM: Feedback attention is working memory

How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat

Attention in transformers, visually explained | DL6

A Brain-Inspired Algorithm For Memory

Were RNNs All We Needed? (Paper Explained)

Mixtral of Experts (Paper Explained)

Transformers (how LLMs work) explained visually | DL5

OpenCV Course - Full Tutorial with Python

Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat

What is LSTM (Long Short Term Memory)?

Retentive Network: A Successor to Transformer for Large Language Models (Paper Explained)

SAPHIR Webinar: "Quantum Sensing for (low and high energy) particle physics" - Michael Doser.

Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)

Rethinking Attention with Performers (Paper Explained)

But what is a neural network? | Deep learning chapter 1