Christian Garbin CS master's and Ph.D. collected works
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27 repositories
llm-github-issues
PublicSummarizing with LLMs: Using an LLM to understand GitHub issues without reading each post in detail.autogen-experiments
Publicgpt-all-local
PublicA "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an example of retrieval-augmented generation (RAG): we find relevant sections from our documents and pass it to the LLM as part of the prompt (see pics).- Data science with Pandas and NumPy: EDA, binning, distribution functions, simulations, regression analysis
- IEEE ICMLA 2019 Data Science Tutorial - using data to answer questions
- Writing good Jupyter notebooks: logically organized, clearly documented decisions and assumptions, easy-to-understand code, flexible (easy to modify) code, resilient (hard to break) code
llm-comparison-tool
PublicA tool to compare multiple large language models (LLMs) side by side- Information retrieval from basic concepts (tokenization, stop word removal, stemming, TF-IDF, etc.)
- Methodically "unobfuscate" the winner of the 1988 International Obfuscated C Contest entry, the incredible code that prints the "twelve days of Christmas" song.
- What is "accuracy"? The effect of changing the decision threshold on a model's accuracy.
- Are machines "learning" anything? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melanie Mitchell.
- Exploring SHAP feature attribution for image classification
cap6618-computer-vision
PublicComputer vision using traditional classifiers, neural networks, and transfer learningmodel-card-template
PublicTemplate for model cards- Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
chexpert_explorer
Public- Template for datasheet for datasets
chestx-ray8-datasheet
PublicA datasheet for the ChestX-ray8 dataset, a.k.a. ChestX-ray14chexnet-model-card
PublicA model card for the CheXNet model.- Exploring data visualization with Facets and Streamlit
regression-no-libraries
PublicRidge, elastic net, and logistic regressions implemented without using any statistical or machine learning library. All steps are done by hand, using matrix operations as much as possible.- Federated learning: literature review and experiments with the Google sample code
- COT6405 Analysis of algorithms Spring 2020
- COT6930 Natural Language Processing, Spring 2019
cap6619-deep-learning
PublicCAP6619 Deep Learning FAU CS master's Fall 2018- CAP5615 Intro to Neural Networks class at FAU, Summer 2018