nasa/prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

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nasa/progpy

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

Language: Python - Size: 38.6 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 97 - Forks: 18

raghavagps/skcm_prognostic_biomarker

Pronostic biomarkers for SKCM

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reykboerner/diusst

Conceptual models of oceanic diurnal warm layer dynamics

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JonathanP-code/Upland.me-Property-Price-Predictor

I wanted to use a neural network built with TensorFlow and Keras to predict future real estate prices based on property attributes like size, location, and market trends. Users can input details interactively, and the model provides a price prediction along with a 12-month forecast visualization.

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smartdata-analysis-and-statistics/metamisc

This is the official repository of the R package metamisc

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espositomario/DTC-Recurrence-ML-SHAP

Benchmarking ML models for predicting DT Cancer recurrence with nested CV and explaining predictions with SHAP (XAI).

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RidgetopGroupInc/ARULE4Python

Implementation of UD_ARULE CLI version within Python to process feature data (FD) nodes of a system/system-of-systems to predict key prognostic parameters such as RUL, PH, and SoH

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jubacochran/damage-propagation-modeling-NASA-jet-engine-

NASA Turbofan Jet Engine Propagation modeling

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philsf-biostat/SAR-2023-016-BH

Time-adjusted effect of socioeconomic status in mortality rates after brain injury: cohort study

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viv3ckj/CARSS

This repo contains the code used for the CARSS external validation project.

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philsf-biostat/SAR-2023-017-BH

Sensitivity of mortality rates to the imputation of missing socioeconomic data: cohort study

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konny1990/Paper_PrognosticModelRRMS

Reproduce results from the paper "Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis. K. Chalkou et. al. Diagn Progn Res . 2021 Oct 27;5(1):17. doi: 10.1186/s41512-021-00106-6."

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philsf-biostat/SAR-2023-004-BH

Effect of socioeconomic status in mortality rates after brain injury: cohort study

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ngiangre/mccv

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philsf-biostat/philsf-biostat.github.io

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kaushikmupadhya/Anomaly-Detection-in-Time-Series-Data

Anomaly Detection in Time Series Data using Autoencoders approach.

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philsf-biostat/SAR-2022-014-MM

Prognóstico de componentes hematológicos após ATQ bilateral simultânea em centro cirúrgico de referência

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philsf-biostat/Portfolio

Consultorias em Estatística Médica e Epidemiologia Clínica. CNPJ:42.154.074/0001-22

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philsf-biostat/SAR-2021-001-LT

Survival analysis of events attributed to PJI in patients that undergone TJA surgeries

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philsf-biostat/SAR-2021-002-JF

Implant failure rates in a knee prosthesis sub-population of the Helios Klinikum Berlin-Buch hospitals

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philsf-biostat/SAR-2021-008-JB

Prognóstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP

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philsf-biostat/SAR-2021-006-MC

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