Today a clear and practical view of GCN theory. We’ll go through Kipf’s PyTorch 🔦 implementation of GCN 👩‍🎓. Then, we’ll apply what we’ve learned to the hateful Twitter dataset 🔥

Image by Ryunosuke Kikuno on Unsplash

My previous posts about graphs and ML:

Can we employ GANs 💻 in neuroscience experiments 🐁? What’s the geometric manifold 💎 our memory works and lives in? and can we have a biologically inspired Independent Component Analysis 📈?

Image by Jeffrey Blum on Unsplash

Why you should care about Neuroscience?

Neuroscience is the root for nowadays artificial intelligence 🧠🤖. Reading and being aware…

Today, we are going to extend our SDK with function for keeping track of runs’ metrics interactively and we’ll finally run our SDK

Image by Sahand Babali on Unsplash

Welcome back to the second part of our journey in MLflow. Today we’ll extend the current SDK implementation with two functions for reporting historical metrics and custom metrics. Then, we’ll finally see the SDK working with a simple example. …

In this article, let’s see how your data science team 👩‍💻👨‍💻 could enjoy experimenting 🧪 with new models with an MLflow SDK. If you’re interested in MLflow and you want to go the extra mile, follow me ✋

Image by Jorge Ramirez on Unsplash. Get your data-wires organized with MLflow!

Table of Contents

What is MLflow?
Ten seconds introduction to the MLflow…

Facebook AI and Inria 👍🏻 investigate languages 🗣️ and brain🧠; Rutgers Uni🇺🇸 pushes neuromorphic computations forward with a biological backprop algorithm; 🇩🇪 🇺🇸 investigate over brain states with Information Theory 👩‍💻revealing a high info content for social tasks!

Image by Adrian Schwarz on Unsplash

Why you should care about Neuroscience?

Neuroscience is the root for nowadays…

Hands-on Tutorials

The fourth part of this series. Today, the practical implementation of DeepWalk 🐍 and a look at Facebook Large Page Dataset 👍

Image by Francesca Hotchin on Unsplash

Welcome back to the fourth part of our journey in the Graph Machine Learning world. In the previous post, we saw how DeepWalk algorithm works and its mathematical background. …

The power of astrocytes in memory processing ✨; SISSA’s researchers towards a biologically inspired Reinforcement Learning 🧬; Princeton Uni 🎓 and mathematical neural networks memory manifold 👩‍🔬

Image by Bosco Shots on Unsplash. A night motorway photo as a perfect representation of wandering in the dark to find answers from brain’s connections.

Why you should care about Neuroscience?

Neuroscience is the root for nowadays artificial intelligence 🧠🤖. Reading and being aware of the evolution and…

Stefano Bosisio

Machine Learning Engineer, PhD in Computational Chemistry. My writing covers neuroscience research, coding tutorial and social-media analyses

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