machine learning
Projects with this topic
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$ mldev | is a data science experiment automation and reproducibility toolkit.
check our experiment templates: https://gitlab.com/mlrep
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programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.
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A library of blog posts and tutorials. Part of the End-to-End Machine Learning School at e2eml.school/courses
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Python software for identifying dynamical systems and hidden patterns from time series data
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Project to automate training of Classification model using custom scripts and MLFlow. Classification model is trained using XGBoost library.
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A project to develop a non-invasive, AI-powered system for detecting lung cancer associated with combustion particles and fine particulate matter (PM2.5).
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Feature Engineering_Diabetes Prediction
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63-51 : Emerging Technologies / Benoit, Nohen, Thaddée
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FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer
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Automated 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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Resources for interns and new team members at Tangible AI
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Bahn-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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Python 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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Python 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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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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