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osre24
FetchPipe: Data Science Pipeline for ML-based Prefetching
Hello, I’m Peiran Qin, a first-year Pre-Doctoral student in Computer Science at the University of Chicago. In this summer I will focus working on the project FetchPipe: Data Science Pipeline for ML-based Prefetching under the mentorship of Prof.
Peiran Qin
Last updated on Jun 25, 2024
Developing an Efficient CMS for Polyphy Project
As part of the Polyphy project’s team, I am developing a customized CMS to enhance data management and social presence. This blog covers the initial steps and progress made so far.
Mohit Goyal
Last updated on Jun 24, 2024
Causeway: A New Approach to Web Development Teaching
As part of the Causeway team, my proposal under the mentorship of Professor David Lee aims to enhance web development education through situated learning. Causeway addresses shortcomings in current online coding tutorials by offering a comprehensive approach to web development using an Angular, RxJS, NgRx, and Firebase stack.
Audrey Ostrom
Last updated on Jun 20, 2024
web-development
Unveiling Medicine Patterns: 3D Clustering with Polyphy/Polyglot
Hello! My name is Ayush and this summer I’ll be contributing to Polyphy and Polyglot, a GPU oriented agent-based system for reconstructing and visualizing optimal transport networks defined over sparse data.
Ayush Sharma
Last updated on Jun 24, 2024
GSoC'24
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natural language processing
Assessing the Computational Reproducibility of Jupyter Notebooks
This post explores the author’s journey from replicating supercomputing experiments to developing accessible research tools with Jupyter Notebooks. It highlights how these experiences shaped her Summer of Reproducibility project proposal that focuses on the computational reproducibility of Jupyter Notebooks used in scientific contexts.
Nicole Brewer
,
Tanu Malik
Last updated on Jun 24, 2024
SoR
Exploring Reproducibility in High-Performance Computing Publications with the Chameleon Cloud
Hello everyone, I’m Klaus Kraßnitzer and am currently finishing up my Master’s degree at the Technical University of Vienna. This summer, under the guidance of Sascha Hunold, I’m excited to dive into a project that aims to enhance reproducibility in high-performance computing research.
Klaus Kraßnitzer
Last updated on Jun 16, 2024
SoR
Reproducibility in Data Visualization
Hello! My name is Arya Sarkar and I will be contributing to the research project titled Reproducibility in Data Visualization, with a focus on investigating and coming up with novel solutions to capture both static and dynamic visualizations from different sources.
Arya Sarkar
Last updated on Jul 18, 2024
SoR
Artificial Intelligence Explainability Accountability
develop a system that explains programming errors, from syntax to logical issues, using AI and custom drivers for consistent feedback. Key deliverables include an AI benchmark suite for education and personalized AI assistance for programming learners
Sarthak Chowdhary(Shaburu)
,
Leilani H. Gilpin
Last updated on Jun 25, 2024
GSoC'24
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Explainable AI
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xAi
,
Responsible AI
Data leakage in applied ML: reproducing examples of irreproducibility
Hello, I am Kyrillos Ishak I am happy to be part of SOR 2024, I am working on Data leakage in applied ML: reproducing examples of irreproducibility project. My proposal was accepted.
Kyrillos Ishak
Last updated on Jun 14, 2024
SummerofReproducibility24
Developing Trustworthy Large Language Models
Hi! Thanks for stopping by. In this first blog post of a series of three, I’d like to introduce myself, my mentor, and my project. My name is Nikhil. I am an ML researcher who works at the intersection of NLP, ML, and HCI.
Nikhil Wani
,
Leilani H. Gilpin
Last updated on Jun 25, 2024
GSoC'24
,
Explainable AI(Xai)
,
Responsible AI
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