This is your work, valued
A PhD student specializing in AutoML
EvolutionaryForest. An open source python library for automated feature engineering based on Genetic Programming
162awesome-genetic-programming. A curated list of resources for genetic programming.
63DEAP-GP-Tutorial. A Tutorial for DEAP
48PS-Tree. An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
40scikit-obliquetree. Oblique Decision Tree in Python
22scikit-rtdl. A scikit-learn compatible neural network library based on "Revisiting Tabular Deep Learning" (RTDL)
13scikit-TALENT. Scikit-TALENT provides seamless deep learning integration with scikit-learn and Optuna-based tuning.
12RL-GEP. A hybridization method of genetic programming and reinforcement learning for symbolic regression
9RAG-SR. Retrieval-Augmented Generation for Neural Symbolic Regression
8Scikit-MTR. A multi-target regression framework
6SR-Forest. An open source python library for GP-based ensemble learning methods
6DoubleLexicaseSelection. GECCO 2023
5FlexAutoML. A comprehensive, end-to-end solution designed to streamline your machine learning pipeline tasks.
5KneePoint-Python. A package for knee point selection
4RM-MEDA. RM-MEDA Python3
3GPED. A re-implementation of GPED
3deep-symbolic-regression. Source code for deep symbolic regression.
3EFS-RL. Interpretable policy derivation for reinforcement learning based on evolutionary feature synthesis
2CEC-Slides.
2Measuring-VC-Dimension. Measuring the VC-dimension using experimental method.
2Cosine-MAP-Elites-GP. Python
2EvolutionaryParameterGrid. Evolutionary Parameter Grid
2GPTP-PPT.
2EF-Experiment. Here is some code related to EF experimentation
1SlurmNeSI. This is a simple Slurm script that runs Python jobs on a NeSI cluster.
1EuroGP-2024-PPT.
1GP-GPPI. Python
1EuroGP-2023-Recap. EuroGP 2023 Recap
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