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Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Predict the popularit of cats and dogs using deep learning methods

Fast model deployment on AWS Lambda

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.

Free MLOps course from DataTalks.Club

Serverless Container-aware ARchitectures (e.g. Docker in AWS Lambda)

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Deploy Machine Learning Pipeline on AWS Fargate

Deploying Models to Production with Mlflow and AWS Sagemaker

CI/CD pipeline with Amazon SageMaker and Github actions

Accelerating new GitHub Actions workflows

A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.

Implementation of character based convolutional neural network

Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Application Link

These are the demo codes for the two part series on "ML Models In Android Apps"

A curated list of awesome things related to FastAPI