Machine Learning Projects by John D. Pope using Weights & Biases

Intro

# Hi there 👋 
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I'm a Full Stack Engineer & Solution Architect with 20+ years of experience in mobile development, AI/ML, and cloud solutions.
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🔭 Current Focus
- Full Stack Development
- AI/ML Solutions
- Cloud Architecture
- Mobile Development (iOS/React Native)
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 AI/ML
- 🤖 PyTorch | TensorFlow
- 🧠 NLP & Transformers
- 👁️ Computer Vision
- ⚡ Generative AI
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🌟 Featured Projects
- 🎥 Video Streaming Platform (WWE)
- 📱 Social Media Platform with AR (8secondz)
- 🚗 Ride-Hailing System (Karhoo)
- 🤖 AI-Powered Solutions
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 Recent Projects 🚀
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 AI & Computer Vision Research
 [IMF (Implicit Motion Function)](https://github.com/johndpope/IMF) 
A recreation of Microsoft's groundbreaking motion synthesis technology
- Implemented neural motion fields for human motion synthesis
- Built using PyTorch and CUDA optimizations
- Focus on performance optimization and memory efficiency
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 MegaPortrait-hack([link-to-repo](https://github.com/johndpope/MegaPortrait-hack))
Reverse engineering study of "MegaPortraits: One-shot Megapixel Neural Head Avatars"
- High-resolution neural head avatar generation
- Implemented novel architecture for one-shot learning
- Utilized Claude AI for code analysis and optimization
- Tech stack: Python, PyTorch, CUDA
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VASA-1-hack(https://github.com/johndpope/vasa-1-hack)
Implementation study of VASA (Visual Affective Style Transfer) architecture
- Audio-driven facial animation synthesis
- Emotion-preserving style transfer
- Large-scale model training infrastructure
- Tech stack: Python, PyTorch, Audio processing libraries
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