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reproducibility
Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time (Midterm Blog Post)
We are currently midway into the OSRE 2023 program and the following post lists the progress that I have made on the project so far. As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time our overall goal was to enumerate the effect of sequence data quality on execution times.
Shayantan Banerjee
Last updated on Dec 18, 2023
SummerofReproducibility23
[Mid-term] Capturing provenance into Data Science/Machine Learning workflows
This post describes our midterm work status and some achievements we have done so far in the project for the noWorkflow package. The initial weeks I started doing a bibliographical review on reproducibility in the Data Science (DS) and Machine Learning (ML) realms.
Jesse Lima
Last updated on Aug 11, 2023
Improving Video Applications' Accuracy by Enabling The Use of Concierge
Introduction Hello, it’s me again, Faishal, a SoR project contributor for the edgebench project. For the past these two months, my mentors and I have been working on improving the performance of our system.
Faishal Zharfan
Last updated on Aug 6, 2023
SoR
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
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Krishna Madhwani
Last updated on Aug 2, 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 Aug 2, 2023
SoR'23
GPU Emulator for Easy Reproducibility of DNN Training -- Interim Blog Post
Introduction Motivation The growing popularity of Deep Neural Networks has resulted in a substantial increase in demand for Graphics Processing Units (GPUs). GPUs are crucial for conducting matrix computations in DNN training and inference.
Haoran Wu
Last updated on Aug 2, 2023
SoR'23
Building extensions between Python libraries for Biotechnology laboratories
Hello again! This is Luiza, a GSoC contributor for the LabOp Project. My task is to build bridges between programming languages for Biotechnology Laboratory automation. When talking about life sciences, reproducibility is a issue amongst most research centers.
Luiza Zucchi Hesketh
Last updated on Aug 7, 2023
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 Aug 2, 2023
chip-design
Halfway Through GSOC: My Experience and Learnings
Hello there! I’m Jonathan Edwin, all the way from the beautiful archipelago of Indonesia. This year, I got the exciting chance to jump on board the 2023 Summer of Reproducibility initiative.
Jonathan Edwin
Last updated on Aug 2, 2023
SummerofReproducibility23
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 Dec 18, 2023
SummerofReproducibility23
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