Code & Projects
Open source contributions, demos, and technical projects showcasing AI/ML implementations, data structures, and development tools.
A CLI tool to create MCP (Model Context Protocol) servers with Gradio web interfaces from your existing Python functions. Focus on your core functionality, not on boilerplate code. Perfect for quickly exposing AI/ML functions as web services.
arcee-demos
Jupyter NotebookA collection of demos, examples, and tools for using Arcee AI models and services across various platforms and use cases.
huggingface-demos
Jupyter NotebookA comprehensive collection of practical demos and tutorials showcasing various Hugging Face technologies, optimization techniques, and deployment strategies for machine learning models.
A professional, extensible framework for evaluating and comparing Large Language Models (LLMs) across different industry domains using automated scoring, radar charts, and comprehensive reporting.
aws-samples
Jupyter NotebookDeveloper resources to work with Arcee models on AWS, providing practical examples and integration patterns for deploying AI models on AWS infrastructure.
A Docker Container for Hugging Face Inference on CPU platforms. Enables cost-efficient AI inference using small language models on CPU with native integration to Amazon SageMaker and other Docker-based platforms.
GitHub Profile
Explore more of my open source contributions, technical projects, and code samples on GitHub.
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