bridgecrew-perf6 Goto Github PK

deploy_mini-game_react

deploy_ml

deploy_ml-1

deploy_ml-workflow

deploy_ml_api

deploy_ml_fastapi

A hubby mini project to deploy a machine learning model via FastApi with Docker

deploy_ml_fundamentals

Data Version Control, Github Actions, Google Storage, CI/CD

deploy_ml_lambda_aws

Example how to deploy a machine learning model into Lambda AWS

deploy_ml_model

deploy_ml_model-1

Tutorial for deploy machine learn model as web service using Azure cloud

deploy_ml_model-2

Deployment of an ml model using Heroku and FastAI

deploy_ml_models

deploy_ml_models-1

Deploy Machine Learning Models

deploy_ml_one

Deploy and monitor a machine learning for workflow for Image Classification

deploy_ml_three

deploy_ml_titanic_example

deploy_ml_with_streamlit

Deploying machine learning classification on Streamlit, using pre-trained pipelines with training the model on the fly! link: https://share.streamlit.io/adeirman46/deploy_ml_with_streamlit/main/penguin_ml.py

deploy_ml_wml

deploy_ml_zero

deploy_mlops

Repositorio para el curso de MLPOS de Platzi

deploy_model

Demo Deploy-Model

deploy_model-1

deploy_modelo_fastapi

Repositorio para fazer testes da FastAPI que retorna o predict de um modelo

deploy_mongodb

mongodb 集群部署

deploy_mooc

deploy_mssql_on_kubernetes

deploy_multiply

Within this repository, I provide a deployment tool for the MULTIPLY framework (https://github.com/multiply-org/). This tool downloads the specific modules, and setsup the environment to run the MULTIPLY framework.

deploy_nce

deploy_netlify

deploy_nextapp