osre24

Introduction Hello! I’m Palaniappan R, an undergraduate student at BITS Pilani, India. Over the past few months, I’ve been working as a GSoC contributor on the LLM Assistant for OpenROAD - Model Architecture and Prototype project, under the mentorship of Indira Iyer and Jack Luar.

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.

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.

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.