Name: Christian Garbin CS master's and Ph.D. collected works
Type: Organization
Bio: Work created during FAU's computer science master's and Ph.D. (data science, machine learning, ...)
Location: United States of America
cap5615-intro-to-neural-networks
CAP5615 Intro to Neural Networks class at FAU, Summer 2018
cap5768-introduction-to-data-science
Data science with Pandas and NumPy: EDA, binning, distribution functions, simulations, regression analysis
cap6618-computer-vision
Computer vision using traditional classifiers, neural networks, and transfer learning
cap6619-deep-learning
CAP6619 Deep Learning FAU CS master's Fall 2018
cap6776-information-retrieval
Information retrieval from basic concepts (tokenization, stop word removal, stemming, TF-IDF, etc.)
chestx-ray8-datasheet
A datasheet for the ChestX-ray8 dataset, a.k.a. ChestX-ray14
chexnet-model-card
A model card for the CheXNet model.
chexpert_explorer
A preprocessor and visualizer for CheXpert
cot-5930-image-processing
COT-5930 Image processing using MATLAB
cot6405-analysis-of-algorithms
COT6405 Analysis of algorithms Spring 2020
cot6900-dis-federated-learning
Federated learning: literature review and experiments with the Google sample code
cot6930-natural-language-processing
COT6930 Natural Language Processing, Spring 2019
dataset-visualization-google-facets-streamlit
Exploring data visualization with Facets and Streamlit
datasheet-for-dataset-template
Template for datasheet for datasets
decision-threshold-effect-on-accuracy
What is "accuracy"? The effect of changing the decision threshold on a model's accuracy.
dropout-vs-batch-normalization
Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
gpt-all-local
A "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).
ieee-icmla-2019-data-science-tutorial
IEEE ICMLA 2019 Data Science Tutorial - using data to answer questions
llm-comparison-tool
A tool to compare multiple large language models (LLMs) side by side
llm-github-issues
Summarizing with LLMs: Using an LLM to understand GitHub issues without reading each post in detail.
machine-learning-but-not-understanding
Are machines "learning" anything? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melanie Mitchell.
model-card-template
Template for model cards
obfuscated-c-12-days-of-christmas
Methodically "unobfuscate" the winner of the 1988 International Obfuscated C Contest entry, the incredible code that prints the "twelve days of Christmas" song.
regression-no-libraries
Ridge, 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.
shap-experiments-image-classification
Exploring SHAP feature attribution for image classification
writing-good-jupyter-notebooks
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
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
