Time Series Forecasting Best Practices & Examples

Boosting your Web Services of Deep Learning Applications.

Starter app for fastai v3 model deployment on Render

'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev

gRPC server for hosting ML models trained on any framework in python

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

Deploy DL/ ML inference pipelines with minimal extra code.

BentoML Example Projects Gallery

Effortlessly serve your trained Rubix ML estimators in production.

A collection of model deployment library and technique.

CRAN Task View: Model Deployment with R

Examples showcasing model deployment

Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+

Production ready templates for deploying Driverless AI (DAI) scorers.

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

All the material from the Udemy course "Beyond Jupyter Notebooks"

Tensorflow Serving with Docker / Docker Compose

A simple machine learning model deployment example with flask, gunicorn, and Docker

Hands on workshop material evaluating performance, fairness and robustness of models

Deploy XGBoost model in SQL

An example for deploying Tensorflow 2 models with Docker and Fast API

Basic example of Tensorflow Serving

Demo fo mlserve project

Serving layer for large machine learning models on Apache Flink