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osre23
Mid-term blog post for Public Artifact Data and Visualization
Over the past few weeks, our platform development has been progressing steadily, and we are excited to share the milestones we have achieved so far. As planned in our introductory blog, we have successfully laid the groundwork for the platform with the guidance and support of our mentor.
Jiayuan Zhu
,
Krishna Madhwani
Last updated on Aug 1, 2023
SoR'23
Enhancing Drift Detection through Fine-Tuning Llama2
Greetings everyone, I’m Kangrui. Over the past few weeks, we’ve dedicated our efforts and have consequently made significant progress in our drift detection methods. Now, I’m excited to present to you a detailed elaboration on how we prompted and fine-tuned Llama2 to efficiently carry out the drift detection task.
Kangrui Wang
Last updated on Jul 31, 2023
SoR'23
PolyPhy Infrastructure Enhancement
As part of the Polyphy Project, my proposal was aimed at improving various aspects of the project, including CI/CD workflows, encapsulation, and security. Under the mentorship of Oskar Elek, I have made significant progress in the following areas:
Prashant Jha
Last updated on Jul 30, 2023
GSoC'23
Uncovering Actionable Insights using ReadTheDocs Analytics
Introduction Hello again! This is Jack, a GSoC contributor for the OpenROAD Project. My task is to update and optimise the documentation to encourage user adoption and engagement. For open-source repo maintainers, readthedocs is a godsend.
Jack Luar
Last updated on Jul 29, 2023
chip-design
Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time
As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time my proposal under the mentorship of In Kee Kim, Martin Putra and collaborator Charis Christopher Hulu (another OSRE fellow) aims to analyze large-scale sequencing datasets in order to gain insights on how ‘input quality’ affects genomic workflows’ execution times.
Shayantan Banerjee
Last updated on Jul 13, 2023
SummerofReproducibility23
Highlighting and Formatting Pyrope HDL
As part of Micro Architecture Santa Cruz (MASC) my proposal under the mentorship of Jose Renau aims to develop syntax highlighting and a vertical alignment tool for Pyrope. Pyrope is a modern hardware description language under development by MASC.
Russell Baxt
Last updated on Jul 3, 2023
Proactive Data Containers
This project’s goal is to novel data abstraction for managing science data in an object-oriented manner. PDC’s will provide efficient strategies for moving data in deep storage hierarchies and techniques for transforming and reorganizing data based on application requirements. By developing an Python API and command line tools, these objects will be able to be used with ease regardless of the situation.
Nick Wang
Last updated on Jun 23, 2023
GSoC'23
Public Artifact Data and Visualization
This project aims to design a system that allows researchers to conveniently record and compare the environmental information, such as CPU utilization, of different iterations and versions of code during an experiment.
Jiayuan Zhu
,
Krishna Madhwani
Last updated on Jun 22, 2023
SoR
Interactive Exploration of High-dimensional Datasets with PolyPhy and Polyglot
Hello! My name is Kiran and this summer I’ll be working with Polyphy and Polyglot under the mentorship of Oskar Elek. The full proposal is available online. For a brief overview, the Polyglot app allows users to interact with a 3D network of high-dimensional language embeddings, specfically the Gensim Continuous Skipgram result of Wikipedia Dump of February 2017 (296630 words) dataset.
Kiran Deol
Last updated on Jun 19, 2023
GSoC'23
Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time
Hi! I’m Charis, an undergraduate student in the IT and Big Data Analytics program at the Calvin Institute of Technology. As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time my proposal under the mentorship of In Kee Kim and Martin Putra aims to gain insight into features that are highly correlated with execution times of genomics workflows and build machine learning models for predicting workflow execution time.
Charis Christopher Hulu
Last updated on Jun 19, 2023
SoR'23
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