marcovirgolin

GP-GOMEA

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

genepro

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

gpg

Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.

robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

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

APhA

Code to automatically assemble highly-individualized phantoms from DICOM CT scans and RT STRUCT files

coeffmut_gpgomea

Code to reproduce paper by Virgolin and Bosman "Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression" 2022

Experiments-on-DF-Net-and-GPT-3

Code for "DAISY: An Implementation of Five Core Principles for Transparent and Accountable Conversational AI" 2022. Fork from ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"

marcovirgolin.github.io

Marco Virgolin's personal website

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

composer

Train neural networks up to 7x faster

falcon.cpp

C++ implementation for falcon

gp_dr

code for GECCO 2022 paper: "On genetic programming representations and fitness functions for interpretable dimensionality reduction"

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

guidance

A guidance language for controlling large language models.

LLM-Adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

marcovirgolin

memit

Mass-editing thousands of facts into a transformer memory (MEMIT)

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

pyfe

Fast evaluation of symbolic expressions in C++

rome

Locating and editing factual associations in GPT (NeurIPS 2022)

SDNist

SDNist: Benchmark data and evaluation tools for data synthesizers.

simple-chatgpt-chat-streaming-demo

A Node.JS chat demo where the chat streams to the browser.

srbench

A living benchmark framework for symbolic regression

t-zero

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

TabularBenchmarks

toolformer

trl

Train transformer language models with reinforcement learning.