https://github.com/calebtt/calebtt

Config files for my GitHub profile.
https://github.com/calebtt/calebtt

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Config files for my GitHub profile.

• Host: GitHub
• URL: https://github.com/calebtt/calebtt
• Owner: calebtt
• Created: 2021-10-12T17:03:12.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2026-02-06T16:03:54.000Z (5 months ago)
• Last Synced: 2026-02-07T00:21:47.797Z (5 months ago)
• Topics: config, github-config
• Homepage: https://github.com/calebtt
• Size: 86.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hi there! I'm Caleb

🌱 Currently diving into Multi-paradigm Design in C++

📫 Best way to reach me: Email preferred. Cell available by request for faster back-and-forth. NashDev Slack

📍 Nashville, TN

I'm a software engineer doing low-level systems, AI-driven tools, and cross-platform libraries. Lately, I've been building C#/.NET components for voice processing, and intelligent agents, alongside some model fine-tuning. Check out my recent work below!

## Spotlight Project: MinimalTextClassifier

I'm excited to highlight my latest model fine-tuning work: **[MinimalTextClassifier](https://github.com/calebtt/MinimalTextClassifier)**!

This is a minimal .NET ONNX-based binary text classifier with Python fine-tuning support, powered by the Deberta transformer model. It's designed for efficient text classification tasks, bridging Python for model training/fine-tuning and .NET for lightweight, cross-platform inference via ONNX Runtime.

### Key Features:

- **Fine-Tuning Support**: Use Python scripts to fine-tune Deberta on your custom datasets for binary classification (e.g., sentiment analysis, spam detection).

- **ONNX Integration**: Export models to ONNX for seamless deployment in .NET environments—fast, portable, and no heavy dependencies.

- **Minimalist Design**: Focuses on simplicity and performance, making it easy to integrate into apps or pipelines without bloat.

- **Cross-Platform**: Runs on Windows, Linux, macOS via .NET.

- **Example Use Cases**: Custom text classifiers for smart home devices (Alina, what time is it?), content moderation, or data processing tools.

If you're into AI model optimization or need a quick way to deploy fine-tuned transformers in production, check it out! Contributions welcome—let's collaborate on expanding it to multi-class or more advanced scenarios.

## Other Featured Projects

### Voice AI & Telephony Tools (Recent C# Focus)

These are my latest C# repos, emphasizing minimal, efficient libraries for speech detection, diarization, and agentic workflows. They're battle-tested in noisy environments and utilize AI models like Silero VAD, ecapa-tdnn, whisper, and phi3.

- [MinimalSileroVad](https://github.com/calebtt/MinimalSileroVad)  

  Cross-platform .NET library for VAD (Voice Activity Detection) and speech segmentation using the Silero VAD model. Replaces WebRtcVadSharp—faster and more accurate for real-time apps.

- [MinimalVoiceAgent](https://github.com/calebtt/MinimalVoiceAgent)  

  A lightweight voice agent framework with tool calling, local TTS/STT, and Grok API integration. Build conversational AI without the bloat—ideal for prototypes or local setups.

- [SipBotOpen](https://github.com/calebtt/SipBotOpen) (Highlighted Project)  

  Open-source telephone voice assistant with tool calling and PSTN connectivity. Dial it live at 1-615-899-3280! Uses SIP client in C# .NET for VoIP PBX magic. Currently testing VAD, AEC, and noise suppression.

- [MinimalDiarization](https://github.com/calebtt/MinimalDiarization)  

  .NET library for AI-powered speaker diarization via ONNX runtime. Includes experimental intent preprocessing for command discrimination in noisy, multi-speaker scenarios—great for voice agents.

### Other Highlights

- [XMapLib](https://github.com/calebtt/XMapLib)  

  Low-level C++ library for mapping Xbox controller inputs to keyboard/mouse. Closer to the metal for gaming/input hacks.

- [StreamToActionTranslator](https://github.com/calebtt/StreamToActionTranslator)  

  C++23 CMake project for translating input streams to actionable function calls. Experimental fun with streams and actions.

- [youtube_skip_button_fine_tuned_yolo](https://github.com/calebtt/youtube_skip_button_fine_tuned_yolo)

  Yolo v11 model fine-tuning scripts for youtube "skip ad" button detection with high-performance inference and excellent accuracy.

More code, tools, and experiments coming soon. Contributions welcome—fork away!

HF: https://huggingface.co/calebt9990