An introduction to the matrix multiplication problem, with applications in Python and JAX — DeepMind recently published an interesting paper that employed Deep Reinforcement Learning to find new Matrix Multiplication algorithms[1]. One of the objectives of this paper is to lower matrix multiplication computational complexity. …

In this tutorial, we’ll build an NLP app starting from DagsHub-MLflow, then diving into deployment in SageMaker and EC2 with the front end in Streamlit. — Table of Contents — 1. Setup DagsHub repo and requirements — — Create your DagsHub repo — — Setup the virtual environment — — Download the data with DVC — 2a. Launch your very first experiment in MLflow — — Naive Bayes model as a backbone for sentiment Classification — — Set up…

Can we use PyTorch in Rust? What are Rust bindings? What’s tch-rs? A look on neural networks in Rust — It’s been a while since the last time when we had a look at Rust and its application to Machine Learning — please, scroll down to the bottom for the previous tutorials on ML and Rust. Today I would like to present you a step forward, introducing neural networks in…

The second part of our NLP exploration: Topic modelling, word embeddings and text similarity through TF-IDF and transfomers — Welcome back to this introduction to the NLP world. Click here if you missed the very first part of this introduction to NLP: The Bible under the NLP eye (Part 1) The first part of a fun data science project, to learn more about text processing, NLP techniques, and extracting…towardsdatascience.com

This month: Microsoft, INRI and IIIT tackle the brain-computer 💻 interface and Visio-linguistic Transformers to solve the brain encoding problem 🧮 and the very first public graph neural network framework 🕸️ to explore brain structural and functional networks. Support my writing and projects by joining Medium through my referral link: Join Medium with my referral link - Stefano Bosisio As a Medium member, a portion of your membership fee goes to writers you read, and you get full access to every story…stefanobosisio1.medium.com

This month: PDE and deep learning to build up brain’s 🧠 connectome🔗, brain-computer 💻 interface for hand prosthesis and finally a new look at Hidden Markov Models for brain dynamics understanding. Support my writing and projects by joining Medium through my referral link: Join Medium with my referral link - Stefano Bosisio As a Medium member, a portion of your membership fee goes to writers you read, and you get full access to every story…stefanobosisio1.medium.com

The first part of a fun data science project, to learn more about text processing, NLP techniques, and extracting meaningful information from text corpus. — Since Easter is approaching I thought of a nice and fun data science project, applying NLP techniques to the Bible. The Bible can be freely downloaded in text format from the Gutenberg project https://www.gutenberg.org/cache/epub/1581/pg1581.txt (Gutenberg License)

GAT in practice! Exploring PyTorch, Torch Geometric and JAX #GPU implementation to speed up GAT performance — Support my writing and projects by joining Medium through my referral link: Join Medium with my referral link - Stefano Bosisio As a Medium member, a portion of your membership fee goes to writers you read, and you get full access to every story…stefanobosisio1.medium.com My previous posts on Graph Neural Networks:

This month: variational autoencoder model to enhance brain-computer-interfaces 🧠💻, perceived image reconstructions from humans’ fMRI scans 🧱and fault-tolerant neural networks ❌. Support my writing and projects by joining Medium through my referral link: Join Medium with my referral link - Stefano Bosisio As a Medium member, a portion of your membership fee goes to writers you read, and you get full access to every story…stefanobosisio1.medium.com