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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on developing state-of-the-art machine learning solutions, including deep learning and generative AI models for various applications such as computer vision, event detection, and natural language processing.
  • šŸŒ± Iā€™m currently learning about multimodal foundational models and large language models (LLMs), with a focus on applying low-rank adaptation (LoRA) techniques.
  • šŸ‘Æ Iā€™m looking to collaborate on innovative ML projects, especially those involving RFID technology, phased array antennas, and wireless communication systems.
  • šŸ¤” Iā€™m looking for help with exploring new job opportunities in multimodal foundational models and LLMs.
  • šŸ’¬ Ask me about machine learning, RF modeling, phased array antennas, or anything related to electromagnetic simulations.
  • šŸ“« How to reach me:
  • āš” Fun fact: I'm a Duke basketball fan, an avid hiker, and I enjoy brewing specialty coffee.

John Hodge's Projects

aind-vui-capstone icon aind-vui-capstone

Voice user interfaces (VUI) speech recognition project for the Udacity Natural Language Processing (NLP) Nanodegree program.

aind2-nlp-capstone icon aind2-nlp-capstone

Machine translation project for Udacity's Natural Language Processing (NLP) Nanodegree.

baseball-pitch-sequence-prediction icon baseball-pitch-sequence-prediction

This GitHub repository is dedicated to the development and training of a Transformer-based deep learning model for predicting the next pitch type in a baseball game, utilizing historical data on ball-strike counts and pitch sequences to incorporate transition probabilities for more accurate and context-aware predictions.

dlnd-face-generation icon dlnd-face-generation

Course project to generate celebrity faces using a DC-GAN for Udacity's Deep Learning with PyTorch Nanodegree course.

electromagnetics-work-samples icon electromagnetics-work-samples

Providing work samples of electromagnetic, RF, antenna, and radar system analysis that I performed for graduate school assignments.

engineering-system-optimization-mdao- icon engineering-system-optimization-mdao-

Explore the Engineering System Optimization (MDAO) repo for tutorials on advanced engineering design optimization techniques. This resource offers hands-on guides to help you master multidisciplinary design optimization (MDO) through practical examples and use cases.

hmm-tagger icon hmm-tagger

Hidden Markov Model (HMM) Part of Speech tagger project for the Udacity Natural Language Processing (NLP) Nanodegree

llm-tutorials icon llm-tutorials

Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.

p3_implement_slam icon p3_implement_slam

Landmark Detection and Tracking (SLAM) project for Udacity Computer Vision Nanodegree (CVND) program.

phased-array-antenna-model icon phased-array-antenna-model

This tutorial offers a comprehensive guide to computing and visualizing the radiation patterns of phased array antennas using Python, suitable for both beginners and advanced users interested in antenna design and signal processing.

plagiarism-detection icon plagiarism-detection

Plagiarism detection project for Udacity's Machine Learning Engineering (MLE) Nanodegree program.

pytorch-vision-transformers-vit icon pytorch-vision-transformers-vit

Explore fine-tuning the Vision Transformer (ViT) model for object recognition in robotics using PyTorch. This tutorial covers setup, training, and evaluation processes, achieving impressive accuracy with practical resource constraints. Ideal for learners in AI and robotics.

rf-and-antenna-tutorials icon rf-and-antenna-tutorials

Explore RF engineering and antenna design through tutorials covering theory, simulations, and Python code examples. Ideal for students and professionals looking to deepen their understanding of RF concepts and practical antenna applications.

sagemaker-deployment icon sagemaker-deployment

Deploying a Sentiment Analysis Model Using AWS for Udacity's Deep Learning with PyTorch Nanodegree

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