This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamli
AWS Lambda is a great fit because it scales automatically and has a pay-per-request billing model. The health and risk API uses algorithms implemented in the C programming language for short bursting, compute-intense simulations. These calls are ...
Open CV on Lambda Train and deploy OCR model on SageMaker Scale YOLOv5 inference with Amazon SageMaker endpoints and AWS Lambda PaddleOCR的轻量级车牌识别 新希望-构建云上智慧牧场 Bedrock 大语言模型加速 OCR 场景精准提取 How to improve user engagement with real-time AR effects using BytePlus...
AI image generators will continue to evolve with improved realism, better prompt interpretation, and real-time editing capabilities. Future advancements may include seamless integration with design tools, personalizedAI models, and blockchain-based ownership verification. We can also expect multi-modal inp...
You can deploy it on cloud platforms. Here is anarticlethat shows how to do it with AWS EC2 free instance. You canconfigure a reverse proxy. Proxy servers like Nginx and Apache can be configured to serve the app and restrict access for specific users. ...
I am also interested in how to deploy yolo to aws. If you know the answer, please let us know. here simple dockerfile script if u have any tip u can share to me but best choice it not lambda lol try EC2 thx Sign up for freeto join this conversation on GitHub. Already have an ...