PyTorch

Docker image for develop Ai projects

Darknet got illuminated by PyTorch ~ Meet Lightnet

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

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

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.

Automatically set up a repo with docker compose and associated makefile. Also adds automatic documentation on GitLab using Doxygen.

ARIMA time series implementation in PyTorch with optional support for Bayesian priors.

Este repositorio contiene el código empleado para la resolución del trabajo de fin de grado realizado por Pablo Rubio Carballo para la obtención del título de Grado en ingeniería informática - Ingeniería de computadores. ETSII, Universidad de Sevilla.

расширение исходной модели

Your own translation API

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

The project entailed building an image classification model using PyTorch, integrated with Azure ML for data handling, model training, and deployment. Key steps included initializing Azure ML Workspace, processing the dataset, developing the model in PyTorch, and deploying it on Azure for real-world inference. This project showcases the synergy between advanced machine learning frameworks and cloud computing platforms in solving complex image classification tasks.

Project for the Computer Vision course.

ANTIDOTE's ACTA Module for Finetuning Transformers for Argumentation Mining.

Population density tracker using Computer Vision.

En este trabajo se varían distintos hiperparámetros de una CNN para mejorar la clasificación multiclase de imágenes