lacava
Assistant Prof at Boston Children's Hospital / Harvard Medical School developing ML for applications in biomedical informatics. I run the @cavalab
@cavalabBoston, MA
Pinned Repositories
feat
A feature engineering automation tool for learning data representations
fomo
fairness-oriented multi-objective optimization
srbench
A living benchmark framework for symbolic regression
Aliro
Aliro: AI-Driven Data Science
pmlb
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
ellen
linear genetic programming system for symbolic regression and classification.
epsilon_lexicase
epsilon lexicase journal paper
fair_gp
Genetic programming approaches to learning fair classifiers
few
a feature engineering wrapper for sklearn
ode-strogatz
A benchmark set of 2-state nonlinear ordinary differential equations adapted from Strogatz's book "Nonlinear Dynamics and Chaos"
lacava's Repositories
lacava/few
a feature engineering wrapper for sklearn
lacava/ode-strogatz
A benchmark set of 2-state nonlinear ordinary differential equations adapted from Strogatz's book "Nonlinear Dynamics and Chaos"
lacava/epsilon_lexicase
epsilon lexicase journal paper
lacava/fair_gp
Genetic programming approaches to learning fair classifiers
lacava/paper-srbench
Paper support the SRBench project
lacava/ffx
Fast Function Extraction
lacava/2SEGP
Simple Simultaneous Ensemble Learning in Genetic Programming
lacava/AI-Feynman
lacava/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
lacava/bandgap
lacava/covid19-forecast-hub
Projections of COVID-19, in standardized format
lacava/cv
my cv
lacava/deep-symbolic-regression
Source code for deep symbolic regression.
lacava/ellyn
python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
lacava/fairness-in-ml
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
lacava/fomo
fairness-oriented multi-objective optimization
lacava/GP-GOMEA
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
lacava/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
lacava/ITEA
Interaction-Transformation Evolutionary Algorithm
lacava/lacava.github.io
documentation for my repositories
lacava/MCMC-SymReg
Symbolic Regression using MCMC sampling
lacava/operon
C++ Large Scale Genetic Programming
lacava/pennai
PennAI: AI-Driven Data Science
lacava/project-template
A template for scikit-learn extensions
lacava/PS-Tree
An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
lacava/regression-benchmark
A large benchmark study of recent symbolic regression methods
lacava/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
lacava/Surprise
A Python scikit for building and analyzing recommender systems
lacava/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
lacava/vim-venter
Vim plugin that horizontally centers the current window(s)