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PhD in Machine Learning
- Brazil
- https://smastelini.github.io/
- https://orcid.org/0000-0002-0092-3572
- in/smastelini
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A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A game theoretic approach to explain the output of any machine learning model.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
CoreNet: A library for training deep neural networks
AirLLM 70B inference with single 4GB GPU
Book about interpretable machine learning
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A high performance implementation of HDBSCAN clustering.
Algorithms for outlier, adversarial and drift detection
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
How to do Bayesian statistical modelling using numpy and PyMC3
Precision Medicine Knowledge Graph (PrimeKG)
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Continual Learning tutorials and demo running on Google Colaboratory.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Material for the ML/DS course developed by DATA for 2020.
Machine Learning for Streaming Data with Python, published by Packt
Meaningful Local Explanation for Machine Learning Models
BioAutoML: Automated Feature Engineering and Metalearning
Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
👗 Tidy up your machine learning experiments
Lectures on "Big Data Sets in Astronomy" by Zeljko Ivezic at Sao Paulo School of Advanced Science on Learning from Data, July 31 - Aug 2, 2019
This repository serves as a demo for River and its associated clustering module (2022 edition).
Implementation of a 3D face reconstruction model from low-resolution images.