Pinned Repositories
2SEGP
Simple Simultaneous Ensemble Learning in Genetic Programming
CoGS
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
DivNichGP
Python re-implementation of the Diverse Niching Genetic Programming algorithm for binary classification and regression
genepro
A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
GP-GOMEA
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
gpg
Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.
pyNSGP
Multi-objective Genetic Programming by NSGA-II in Python
robust-counterfactuals
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
SimpleGP
Simple Genetic Programming for Symbolic Regression in Python3
Uncertainty-Estimation-in-Deep-Nets
Attempt to reproduce the toy experiment of http://bit.ly/2C9Z8St with an ensemble of nets and with dropout.
marcovirgolin's Repositories
marcovirgolin/pyNSGP
Multi-objective Genetic Programming by NSGA-II in Python
marcovirgolin/SimpleGP
Simple Genetic Programming for Symbolic Regression in Python3
marcovirgolin/Uncertainty-Estimation-in-Deep-Nets
Attempt to reproduce the toy experiment of http://bit.ly/2C9Z8St with an ensemble of nets and with dropout.
marcovirgolin/FaceDetectionDotNet
A small C# project to detect faces and facial landmarks
marcovirgolin/ML-PIE
Code to run ML-PIE (EC+DM WS @ GECCO '21)
marcovirgolin/AI-Feynman
marcovirgolin/alibi
Algorithms for explaining machine learning models
marcovirgolin/COVID19_metadata
Interoperable secondary data for research on the new COVID-19 coronavirus sars-cov-2
marcovirgolin/dataset-sts
Semantic Text Similarity Dataset Hub
marcovirgolin/emotioNAO
marcovirgolin/Face-and-Emotion-Recognition
Realtime person's face recognize and can classify emotion using webcam, video or images.
marcovirgolin/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
marcovirgolin/L0_regularization
Learning Sparse Neural Networks through L0 regularization
marcovirgolin/MacroNAS
Source code for reproducing experiments in "Local Search is a Remarkably Strong Baseline for Neural Architecture Search" (2020)
marcovirgolin/mediumish-theme-jekyll
Jekyll Template - Mediumish
marcovirgolin/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
marcovirgolin/operon
C++ Large Scale Genetic Programming
marcovirgolin/seaborn
Statistical data visualization using matplotlib (version with Survival Plots added)
marcovirgolin/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
marcovirgolin/Synaptic-Flow
marcovirgolin/wowchemy-hugo-modules
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
marcovirgolin/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow