reproducibility

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.

The project aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure

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.

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.

Background Hello, I’m 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.

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.

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.

Hey there, scalability enthusiasts and fellow researchers! I’m excited to share my progress on the ScaleRep project for SoR 2024 under the mentorship of Bogdan "Bo" Stoica and Yang Wang. Here’s a glimpse into how we’re tackling scalability bugs in large-scale distributed systems.

Introduction Hello everyone I’am Archit from India. An undergraduate student at the Indian Institute of Technology, Banaras Hindu University, IIT (BHU), Varanasi. As part of the Automatic reproducibility of COMPSs experiments through the integration of RO-Crate in Chameleon my proposal under mentorship of Raül Sirvent aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure.

Introduction Hello, I’m Peiran Qin, a CS student at the University of Chicago, currently working on the project FetchPipe: Data Science Pipeline for ML-based Prefetching under the mentorship of Prof. Haryadi S.