Code used to obtain the results for my master thesis in computer sciences at ULB.

卒業研究の実験のために書いたソースコードを改修したものです。全てのコードを1から書きました。(自動生成されたコードであるcython_wl_kernel.cppを除く)

Neural architecture search with network morphism used for skin lesion analysis

卒業研究の実験のために書いたソースコードです。全てのコードを1から書きました。(自動生成されたコードであるcython_wl_kernel.cppを除く)

Official implementation of our research paper. DOI: 10.1109/JIOT.2024.3360882

Tests I am performing on a Python package for building residual multi - layer perceptrons and tandem [any model] -> ResMLPs models, useful for effective transfer learning. A pypi package should be coming soon.

Official implementation for [Best Paper Award @ SoICT 2022] "Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow"

This repository explores how far can you model biological vision solely with architecture and local learning?

Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023

Mutual information for fine-grained network analysis in neural architecture search

Repository for the "Regularized Meta-Learning for Neural Architecture Search" paper

Applied evolutionary algorithms to automate deep neural network design for image classification. The network architecture was optimized by selecting the best feature extractor, number of hidden layers, number of neurons, and activation function from a predefined search space.

Comparative of the performance of computer vision models designed by hand and models designed using Hardware-Aware Neural Architecture Search (HW-NAS)

Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution ideology.

ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras

Once for All for CIFAR10

NLP proyect related to NAS for text generation DNNs.

Neural-Architecture-Search-Using-Genetic-Algorithm

Code for the paper "Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network"