machine-learning-pipelines

ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel free to check it out, See ExplaineR paper at doi:10.1093/bioadv/vbae049

machine-learning cran statistics ai regression classification machine-learning-pipelines clinical-research interpretability explainable-ai shap explainability ai-pipeline ml-tools ai-tools

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R

awesome-mlops / awesome-mlops-kubernetes

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A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

kubernetes workflow machine-learning deep-learning ml orchestration dataops operator machine-learning-pipelines model-management model-training machine-learning-workflow machine-learning-projects machine-learning-training mlops ml-pipeline model-monitoring machine-learning-operations ml-workbench

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👁 BANGALORE-HOUSE-PRICE-PREDICTION

Amey-Thakur / BANGALORE-HOUSE-PRICE-PREDICTION

Sponsor

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Machine Learning Project to Predict House Prices in Bangalore.

python flask data-science machine-learning deep-learning scikit-learn regression kaggle machine-learning-pipelines multivariate-regression house-price-prediction machine-learning-models machine-learning-projects huggingface ameythakur amey megasatish bangalore-house-price-prediction real-estate-analytics real-estate-analytics-tool

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Python

lsjsj92 / kubeflow_example

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kubeflow example

python dockerfile machine-learning deep-learning ml python3 machine-learning-pipelines kubeflow mlops kubeflow-pipelines

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Python

charumakhijani / spark-ml-deployment

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spark machine-learning-pipelines ml-production ml-deployment batch-prediction

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Jupyter Notebook

Ezzaldin97 / Batch-Serving-ML-Pipeline

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create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

machine-learning scheduling forecasting data-version-control batch-processing machine-learning-pipelines machine-learning-application mlops model-monitoring experiment-tracking

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Python

simplybusiness / code-first-pipelines

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A code-first way to define Ploomber pipelines

data-pipelines machine-learning-pipelines ploomber

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Python

aravind-selvam / ml-pipeline-using-stroke-data

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This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.

machine-learning cicd machine-learning-pipelines ml-pipeline

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Jupyter Notebook

ZIYU-DEEP / Predicting-Terrorist-Attack-Using-Machine-Learning

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This project provides a machine learning pipeline to predict terrorist attack.

machine-learning-pipelines rnn-pytorch terrorist-attacks

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Jupyter Notebook

PERSIMUNE / MAIT

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Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

machine-learning bioinformatics statistics artificial-intelligence calibration statistical-analysis classification confidence-intervals regression-models uncertainty-quantification machine-learning-pipelines interpretability medical-application conformal-prediction explainable-ai survival-prediction ai-pipeline ml-tools ai-tools

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