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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

License: Apache License 2.0

Shell 0.01% Python 0.88% Jupyter Notebook 99.11%

segment-anything's Introduction

๐Ÿ’ซ About Me:

I'm currently working on full-stack development and integrating with mobile apps.

I'm looking to collaborate on crypto smart contracts development.

I'm looking for help with AI LLM development.

I'm currently learning about cybersecurity.

Ask me about full stack development, integrating with mobile apps, crms, and platform architecture.

Fun fact: I built a Chrome extension during a weekend and was about managing several tabs simultaneously.

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๐Ÿ’ป Tech Stack:

CSS3 JavaScript HTML5 Markdown Ruby TypeScript Shell Script AWS Heroku Linode Angular Angular.js Bootstrap Express.js Ember jQuery Ionic JWT Nodemon NodeJS NPM Rails RabbitMQ React Styled Components TailwindCSS Yarn Apache Nginx Firebase MongoDB MySQL Postgres Redis Canva Figma Invision ElasticSearch Docker CIRCLECI Kubernetes NEWRELIC Ansible Babel Confluence Docker ESLint ElasticSearch Kubernetes Jira Notion Trello

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