https://github.com/hivenetes/ai-ml-bootstrapper

Quickstart guide incorporating hands-on demos & modern best practices for running AI/ML workloads on DigitalOcean.
https://github.com/hivenetes/ai-ml-bootstrapper

ai containers digitalocean ml nim nvidia

Last synced: 23 days ago
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Quickstart guide incorporating hands-on demos & modern best practices for running AI/ML workloads on DigitalOcean.

• Host: GitHub
• URL: https://github.com/hivenetes/ai-ml-bootstrapper
• Owner: hivenetes
• License: mit
• Created: 2024-08-26T11:27:52.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-04-01T11:29:08.000Z (about 1 month ago)
• Last Synced: 2025-04-01T12:29:53.501Z (about 1 month ago)
• Topics: ai, containers, digitalocean, ml, nim, nvidia
• Language: Python
• Homepage:
• Size: 3.69 MB
• Stars: 19
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AI/ML Bootstrapper

The AI/ML Bootstrapper offers a quick start guide to efficiently deploy AI/ML workloads on DigitalOcean. It features demos and best practices tailored for modern ML workflows.

``` bash

# Each sub-directory is a standalone project

.

├── automatic-speech-recognition # ASR using NVIDIA NIM

├── gif-creator # Text to GIF 

├── language-translator # Language Translator using NVIDIA NIM

└── market-research-assistant # Market Research Assistant

├── multimodal-translator # Combines ASR and Language Translator

├── pic-chatter # Chat with your images

├── rag-containers # Containerized RAG pipeline

├── snap-insight # Image Analyzer

└── text-to-speech # TTS using NVIDIA NIM

└── your-daily-dose-of-ai # Create short 3 to 5 minute audio of all latest ai updates

```