D

deep learning

Fresh Class🍎, A deep learning web application that classifies 6 types of fruits into 'Good' or 'Bad' quality using MobileNetV2 CNN. Features a Next.js frontend with real-time image classification

The VirtuaLearn3D++ open-source scientific software for 3D point clouds.

This repo will have all resources, labs, data which I use/d on Kaggle Network

Predicting pathogenic potentials of short DNA reads with reverse-complement deep neural networks.

Old functions to play with neural networks. Developed in December 2024

PDE-based Group Equivariant CNNs for PyTorch

The Konstellation Runtime Engine (KRE) is an open-source software application designed to run, maintain and evolve any kind of Machine Learning and Deep Learning solution in production.

Sistema de inteligencia artificial basado en visión por computadora para la detección y segmentación de latas y botellas

This project is a re-implementation of FeatureNet using Tensorflow 2. With working segmentation code.

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

Benchmarking framework for machine learning with fNIRS

https://doi.org/10.3389/fnrgo.2023.994969

This is an implementation of a very simple neural network from scratch.

This project provides a deep learning approach to learn machining features from CAD models using a hierarchical graph convolutional neural network.

Protocol for network and expression integration to identify potential defense gene in host-pathogen interactions

Projet personnel de classification des maladies des feuilles d'arbre. Article technique disponible sur mon blog : https://boulayc.gitlab.io/blog/

This is the unpaired image-2-image and volume-2-volume translation project. It converts images or volumes of an input domain to a target domain using artificial intelligence.