Explore projects
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programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.
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Feature Engineering_Diabetes Prediction
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Nohen Delieutraz / 63-51_zama_concrete_jupyter
MIT License63-51 : Emerging Technologies / Benoit, Nohen, Thaddée
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FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
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mlrep / mldev
Apache License 2.0$ mldev | is a data science experiment automation and reproducibility toolkit.
check our experiment templates: https://gitlab.com/mlrep
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UBC Seagull / DoujinCI
GNU Affero General Public License v3.0Automated pipeline for decensoring of doujinshis, using HentAI and DeepCreamPy. Supply an Imgur album link, nhentai link or nhentai id, wait 15-30 minutes, and download significantly decensored images.
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Tangible AI / community / team
GNU Affero General Public License v3.0Resources for interns and new team members at Tangible AI
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Bahn-Vorhersage / Bahn-Vorhersage
GNU General Public License v3.0 or laterBahn-Vorhersage - The best Train Delay Prediction System.
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This project contains data and required scripts for Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content.
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David Sol / pythonpanama20240618
Creative Commons Zero v1.0 UniversalPython Panamá Meetup Vol 41 Usando Servicios Administrados de AI de AWS con Python y Boto3 https://www.meetup.com/python-panama/events/300787609/
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Miguel Crispim Romão / symbolic-regression-bsm
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Gerald Nika / Carcinoma
MIT LicensePython application, built on top of Keras, that helps doctors classify breast tumors as benign or malignant, by using ANN architecture and Logistic + Softmax regression. Conducted a small study on how different predictive models can deliver different performances in breast tumor prediction through Deep Learning.
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datafold-dev / datafold
MIT LicensePython software for identifying dynamical systems and hidden patterns from time series data
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Python notebooks for teaching basic Machine Learning
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El proyecto se orienta hacia el desarrollo de una herramienta predictiva para el ajedrez, empleando modelos de red neuronal recurrente (RNN) implementados en TensorFlow. La recopilación de datos se realizó mediante técnicas de web scraping desde la página https://www.chess-poster.com.
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Simulation of a real hospital scenario with a ML model in production
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This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.
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