machine-learning-workflow

There are 3 repositories under machine-learning-workflow topic.

blazingsql
BlazingDB / blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
arrow artificial-intelligence blazingsql conda-environment cudf data-science gpu gpu-acceleration gpu-dataframes machine-learning machine-learning-workflow python rapids rapidsai sql sql-engine
Language:C++ 1934
flink-extended / ai-flow
AI Flow is an open source framework that bridges big data and artificial intelligence.
python machine-learning-workflow
Language:Python 172
bentoml / gallery
BentoML Example Projects 🎨
machine-learning machine-learning-library model-serving model-management model-deployment aws-sagemaker serverless aws-lambda gcp-cloud-functions azure-machine-learning data-science machine-learning-workflow gallery bentoml
Language:Python 134
awesome-mlops / awesome-mlops-kubernetes
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 🚀
deep-learning kubernetes machine-learning ml mlops operator dataops machine-learning-operations machine-learning-pipelines machine-learning-projects machine-learning-training machine-learning-workflow ml-pipeline ml-workbench model-management model-monitoring model-training orchestration workflow
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gaborvecsei / Machine-Learning-Inference-With-GitHub-Actions
This repository demonstrated how you can use Github Actions to perform inference with your ML model
github-actions github-actions-docker inference iris-dataset machine-learning machine-learning-workflow sklearn
Language:Jupyter Notebook 6
Amitha353 / Understanding-Machine-Learning-with-Python
Machine Learning with Python can be used to predict the likelihood of events based on data. Includes the steps to be followed which applying machine learning to the problem statement.
decision-trees logistic-regression machine-learning machine-learning-workflow naive-bayes supervised-learning unsupervised-learning
Language:Jupyter Notebook 3
data-science-workshops / machine-learning-workflow
Machine Learning Workflow
machine-learning machine-learning-algorithms machine-learning-workflow machine-learning-workshop
Language:Jupyter Notebook 1
Md-Emon-Hasan / MLFlow-Basic-2.0
Framework for managing machine learning models using MLFlow, focusing on advanced model tracking, versioning, and experiment management.
machine-learning-workflow mlflow mlflow-tracking mlops model-integration model-management model-tracking
Language:Jupyter Notebook 1
popovicidaniela / MachineLearningWorkflow
Tutorial followed from the Understanding Machine Learning with Python pluralsight course by Jerry Kurata. Used the Machine Learning workflow to process and transform Pima Indian Diabetes data to create a prediction model that would predict which people are likely to develop diabetes with 70% or greater accuracy.
logistic-regression machine-learning-workflow naive-bayes pandas random-forest scikit-learn supervised-machine-learning
Language:Jupyter Notebook 0
paschalugwu / Developing-ML-Workflows-On-AWS
Developed an image classification model for Scones Unlimited to identify delivery vehicles (bicycles vs. motorcycles) to enhance routing and loading bay assignments, thereby optimizing operational efficiency.
api-endpoint aws-sagemaker data-staging etl-process image-classification lambda-functions machine-learning-workflow model-monitoring model-training step-functions
Language:Jupyter Notebook
samiyaalizaidi / NN-ML-Homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Language:Jupyter Notebook