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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.
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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.
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fra-wa / AiSeg
GNU General Public License v3.0 or laterThis is a project to train, use and analyze 2D and 3D neural networks for segmentation.
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Anton van de Adams / Stadtluft-macht-frei
Do What The F*ck You Want To Public Licenseрасширение исходной модели
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Tangible AI / community / qary-cli
Hippocratic License 2.1Command Line Interface for developers of qary -- the open source, teachable AI assistant that truly assists, rather than manipulating you.
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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.
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ARIMA time series implementation in PyTorch with optional support for Bayesian priors.
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Pierre Galmiche / repo-setter
MIT LicenseAutomatically set up a repo with docker compose and associated makefile. Also adds automatic documentation on GitLab using Doxygen.
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Riccardo Battistini / Computer Vision Project
BSD 3-Clause "New" or "Revised" LicenseProject for the Computer Vision course.
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Docker image for develop Ai projects
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ANTIDOTE's ACTA Module for Finetuning Transformers for Argumentation Mining.
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Kirill Saidov / cv_population_density_tracker
MIT LicensePopulation density tracker using Computer Vision.
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Portfolio / Uso de CNN para Clasificación Multiclase de Imágenes
Apache License 2.0En este trabajo se varían distintos hiperparámetros de una CNN para mejorar la clasificación multiclase de imágenes
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Haozhe Xie / Pix2VoxPlusPlus
MIT LicenseImplementation of "Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images" (Xie et al., IJCV 2020)
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Train YOLOv5 for breed classification on Oxford Pets III dataset from scratch on Google Colab, and serve through Dockerized implementation of a flask-based HTML/JS frontend and an asynchronous API service on FastAPI. Use of MLFlow for logging.
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Fashion MNIST linear classification model with Keras 3.0 and PyTorch
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Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información
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Copy of my kaggle notebooks from account for that time
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Simple docker code that trains custom GAN network to generate images (bad quality, but quite fast in docker)
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