Tiago Toledo Jr.

Deep Dive into PFI for Model Interpretability
Machine Learning
Another interpretability tool for your toolbox
Tiago Toledo Jr.
July 20, 20236 min read
Mastering Model Interpretability: A Comprehensive Look at Partial Dependence Plots
Machine Learning
Starting your journey in the interpretable AI world.
Tiago Toledo Jr.
July 7, 20236 min read
A Gentle Introduction to Self-Learning
Deep Learning
With Python Implementation
Tiago Toledo Jr.
October 25, 20227 min read
Classical Strategies for Scaling up Graph Neural Networks
Deep Learning
A summary of ways one can make their networks run faster and with less memory
Tiago Toledo Jr.
July 18, 20226 min read
How to Create a Graph Neural Network in Python
Deep Learning
Creating a GNN with Pytorch Geometric and OGB
Tiago Toledo Jr.
July 5, 20227 min read
Testing if two graphs are isomorphic
Deep Learning
Weisfeiler-Lehman Test for Graph Isomorphism and its variants in Python
Tiago Toledo Jr.
June 15, 20227 min read
Graph Sampling Strategies for Clustering
Machine Learning
How to generate high-modularity clustering on sampled graphs
Tiago Toledo Jr.
April 13, 20227 min read
Creating Word Embeddings with Jax
Artificial Intelligence
Implementing the classical NLP algorithm Word2Vec in Jax
Tiago Toledo Jr.
March 22, 20227 min read
Jax - Numpy on GPUs and TPUs
Artificial Intelligence
Understanding the library and implementing an MLP from scratch
Tiago Toledo Jr.
March 8, 202213 min read
Improve your time series analysis with stochastic and deterministic components decomposition
Data Science
How to decompose your time series into components you can forecast with dynamical systems and stochastic processes methods
Tiago Toledo Jr.
February 15, 20227 min read