Search Results for "diagnostic"
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Showing 9 open source projects for "diagnostic"
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MING
A large-scale model of medical consultation in Chinese
MING is an open-source medical large language model designed for intelligent medical consultation and question answering in Chinese. The project focuses on building a healthcare-focused conversational system capable of responding to medical questions, analyzing case descriptions, and guiding diagnostic reasoning. It is trained using medical instruction tuning so that the model can understand patient symptoms and respond with structured explanations and clinical suggestions. One of its primary goals is to simulate a multi-round medical consultation process, allowing the system to ask follow-up questions before offering diagnostic recommendations. ... -
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NVIDIA Earth2Studio
Open-source deep-learning framework
...It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. The toolkit makes it easy to run deterministic and ensemble forecasts, swap models interchangeably, and process large geophysical datasets with Xarray structures, enabling experimentation with state-of-the-art deep learning models for climate and atmospheric prediction. ... -
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WFGY 3.0
A tension reasoning engine over 131 S-class problems
...Different versions of the framework, including WFGY 1.0, 2.0, and 3.0, represent stages of development where early conceptual ideas evolved into more structured reasoning engines and diagnostic tools. The system maps reasoning tension across a large set of complex problems spanning domains such as mathematics, science, climate, finance, and artificial intelligence behavior. -
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TN 365 OS – Admin Edition 2026
TechNews365 OS Admin Edition – Tous les outils réseaux inclus
TechNews365 OS Admin Edition – basée sur Linux Mint 22.3 Cinnamon Cette édition est conçue pour les administrateurs système, techniciens, dépanneurs et utilisateurs avancés. Elle fournit un environnement stable, rapide et complet, avec tous les outils nécessaires pour la gestion, le diagnostic, le réseau, la maintenance et la sécurité. ✔ Base : Linux Mint 22.3 Cinnamon ✔ Environnement : Cinnamon optimisé TechNews365 ✔ Architecture : x86_64 ✔ Outils Admin préinstallés ✔ Système propre, stable et léger ✔ ISO optimisée (5.6 GB) Cette version n’inclut pas de modules IA. Une édition “Admin IA Edition” sera disponible séparément. ... -
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DxTonia
A tool for detecting the presence of leg dystonia from videos.
An open-source diagnostic tool for detecting the presence of leg dystonia from videos. The software provides an automated solution for detecting leg dystonia in children with cerebral palsy (CP), by using artificial intelligence. The software has been verified on two datasets and achieved higher accuracy than routine clinical care. Stay tuned for the improved version. -
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Detectron
FAIR's research platform for object detection research
...It includes training and evaluation pipelines that handle multi-GPU setups, standard datasets, and common augmentations, which helped standardize experimental practice in detection research. Visualization utilities and diagnostic scripts make it straightforward to inspect predictions, proposals, and losses while training. Although the project has since been superseded by Detectron2, the original Detectron remains a historically important, reproducible reference that still informs many productions. -
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
...It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments). -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
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d3web is an environment for the development and use of (diagnostic) knowledge systems. Please, find all up to date information at http://www.d3web.de. Downloads are now also only available directly https://www.d3web.de/Wiki.jsp?page=Downloads
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