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osre24
Hardware Hierarchical Dynamical Systems
Hi everyone! I am Ujjwal Shekhar, a Computer Science student at the International Institute of Information Technology - Hyderabad. I am excited to share my work on the project titled “Hardware Hierarchical Dynamical Systems” as part of the Open Source Research Experience (OSRE) program and Google Summer of Code.
Ujjwal Shekhar
Last updated on Aug 24, 2024
Reproducing and addressing Data Leakage issue : Duplicates in dataset
Hello! In this blog post, I will explore a common issue in machine learning called data leakage, using an example from the paper: Benedetti, P., Perri, D., Simonetti, M., Gervasi, O.
Kyrillos Ishak
Last updated on Aug 24, 2024
SummerofReproducibility24
Final blog: Automatic reproducibility of COMPSs experiments through the integration of RO-Crate in Chameleon
The project aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure
Archit Dabral
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RaΓΌl Sirvent
Last updated on Aug 24, 2024
SoR
Final Blogpost: HDEval's LLM Benchmarking for HDL Design
Introduction Hello everyone! I’m Ashwin Bardhwaj, an undergraduate student studying at UC Berkeley. As part of Micro Architecture Santa Cruz (MASC) my proposal under the mentorship of Jose Renau and Sakshi Garg looks to create a suite of benchmark programs for HDEval.
Ashwin Bardhwaj
Last updated on Aug 24, 2024
Deriving Realistic Performance Benchmarks for Python Interpreters
Hi, I am Mrigank. I am one of the Summer of Reproducibility fellows for 2024, and I will be working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah.
Mrigank Pawagi
Last updated on Aug 19, 2024
Midterm Report: Deriving Realistic Performance Benchmarks for Python Interpreters
Hi, I am Mrigank. As a Summer of Reproducibility 2024 fellow, I am working on deriving realistic performance benchmarks for Python interpreters with Ben Greenman from the University of Utah. In this post, I will provide an update on the progress we have made so far.
Mrigank Pawagi
Last updated on Sep 16, 2024
Final Blog: FEP-Bench: Benchmarking for Enhanced Feature Engineering and Preprocessing in Machine Learning
Background Hello, Iβm Lihaowen (Jayce) Zhu, a 2024 SoR contributor for the FEP-bench project, under the mentorship of Yuyang (Roy) Huang. Before we started, let’s recap the goal of our project and our progress until mid term.
Lihaowen (Jayce) Zhu
Last updated on Aug 19, 2024
Final Blog: FSA - Benchmarking Fail-Slow Algorithms
Introduction Hello! I hope you’re enjoying the summer as much as I am. I’m excited to join the SOR community as a 2024 contributor. My name is Xikang Song, and I’m thrilled to collaborate with mentors Ruidan Li and Kexin Pei on the FSA-Benchmark project.
Kexin Pei
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Ruidan Li
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Xikang Song
Last updated on Aug 18, 2024
Data Leakage in Applied ML
Hello everyone! I have been working on reproducing the results from Characterization of Term and Preterm Deliveries using Electrohysterograms Signatures. This paper aims to predict preterm birth using Support Vector Machine with RBF kernel.
Shaivi Malik
Last updated on Aug 19, 2024
SoR
Midterm Report : Halfway through medicinal data visulaization using PolyPhy/Polyglot
Introduction Hello! My name is Ayush Sharma, a machine learning engineer and researcher based out of Chandigarh, a beautiful city in Northern India known for its modern architecture and green spaces.
Ayush Sharma
Last updated on Aug 14, 2024
GSoC'24
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natural language processing
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