machine learning
Projects with this topic
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Simulation of a real hospital scenario with a ML model in production
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A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection
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Resources for interns and new team members at Tangible AI
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This repository showcases an end-to-end machine learning project implemented with a focus on MLOps.
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Python software for identifying dynamical systems and hidden patterns from time series data
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This repository holds code for the AskAnna Backend. Our backend stack primarily uses Django and the Django REST Framework.
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Series of simulations to replicate laboratory experiments as part of a 'digital twin' initiative between Swansea University and the UK Atomic Energy Authority. Scripts are mostly in python to run the various modules which this platform integrates together (e.g., Salome, Code_Aster, ERMES, CAD2Vox, gvxr, CIL).
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Pulmo is a web-based application that provides an easy-to-use interface for users to input their medical history and other relevant data to get a prediction of their risk of developing lung cancer. The project has also highlighted the importance of data preprocessing and feature selection in improving the performance of machine learning algorithms. Exploratory data analysis was also useful in identifying the most relevant features for predicting lung cancer.
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Bahn-Vorhersage - The best Train Delay Prediction System.
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Eumap is a library to enable easier access to several spatial layers prepared for Continental Europe, as well the source code used to produce them (http://eumap.readthedocs.org).
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Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper. This is an approach using graph neural networks to learning from planar B-Rep CAD models.
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Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350
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Nous avons entrepris un projet d'apprentissage automatique pour prédire des maladies en analysant les données symptomatiques et médicales. Notre modèle sophistiqué, basé sur des techniques d'apprentissage automatique avancées, évalue les symptômes pour fournir des prédictions précises. Avec une interface API développée avec Django et un déploiement sur Microsoft Azure via Terraform, notre solution est conviviale et évolutive.Découvrez notre projet ici :https://apipharma-app-service.azurewebsites.net/
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Détection de tweets haineux par apprentissage automatique (NLP)) Nous avons developpé un modèle d'apprentissage automatique pour détecter efficacement les tweets contenant des contenus haineux/offensants, dans le but de lutter contre les comportements nuisibles en ligne. En parallèle, nous avons conçu une interface API avec Django et optimisé le déploiement en utilisant Docker et Azure via Terraform, assurant ainsi une mise en œuvre fluide et évolutive de notre solution: https://apitweet-app-service.azurewebsites.net/
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Fork of Rubrix for natural language processing machine learning dataset labeling and RLHF (reinforcement learning human feedback) and active learning. Original license was Apache 2.0 which allows Argilla.io to modify the software without sharing it with the community.
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Прогнозирование цены реализации овощного сырья на 1-2-3 недели вперед
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Convenient training of linear models
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VoorSpelling, Machine Learning Desktop App made with Python and Pyqt5 for Windows and Linux.
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