PyTorch

A Contextual-Enhanced LightGCN for Movie Recommendation Systems

A set of data machine learning/deep learning projects exploring various datasets — a place to test ideas, models, and modern stacks.

Echo is a computer vision app for brain tumor detection and classification on MRI scans: end-to-end computer vision pipeline, interactive web interface, and production-grade infrastructure.

Forked from official ultralytics repository. Ultralytics YOLO 🚀 —— Attention is all you need

Code repository for GAME-Net (Graph-based Adsorption on Metal Energy-neural Network), a graph neural network for predicting the adsorption energy of closed-shell molecules on metal surfaces.

AI-remove photobackground

Códigos de diseño de clasificadores SVM y MLP para la identificación de vocalizaciones de perros y ovejas en entornos rurales, junto con algoritmos de optimización de arquitecturas MLP mediante algoritmos evolutivos

Command Line Interface for developers of qary -- the open source, teachable AI assistant that truly assists, rather than manipulating you.

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.

This is a project to train, use and analyze 2D and 3D neural networks for segmentation.

Face Authenticator

A Face-Mask detection system.

A real-time human counting system with age and gender classification.

This is a project to train, use and analyze 2D and 3D neural networks for segmentation. It contains a UI and is implemented in pytorch and django as backend.

A CBIR and classification system that uses both representation learning and handcrafted features to build the image descriptors.

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información

This is a demo of my angular application for grammatical error correction with transformers based on multilingual Bart correction. The model is trained in 4 languages:

Italian English Russian German

Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications

MLP and CNN to classify TinyImage30 dataset. Fine Tuned models. Applied Grad-Cam to identify parts of the image that highly impact the classification based on model convolution gradients. Feature-2-Seq RNN encoder/decoder network trained on the COCO dataset. The produced model is able to predict reasonable captions for provided test images.