From c81ccbbe1dad440ea30717d5a54503ad376c45ed Mon Sep 17 00:00:00 2001 From: Mohit Nirmal Date: Wed, 28 Jan 2026 23:35:28 +0530 Subject: [PATCH 1/2] Add GSOC 2026 section to README --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 33a2e45..fc005dc 100644 --- a/README.md +++ b/README.md @@ -14,3 +14,8 @@ The ML4Sci open source organization is participating in the [2022 Google Summer ![GSOC](https://ml4sci.org/images/GSoC/GSoC-icon-192.png) Please take a look at our [GSoC Page](https://ml4sci.org/activities/gsoc.html) for more details. + +## GSoC 2026 +This repository contains information and project ideas for Google Summer of Code 2026. +Students are encouraged to explore project descriptions and contact mentors early. + From 37afc442f729be18ecf842d7547411839930bf0a Mon Sep 17 00:00:00 2001 From: Mohit Nirmal Date: Wed, 28 Jan 2026 23:55:08 +0530 Subject: [PATCH 2/2] Add baseline ML strategy to ML4DQM GSoC 2026 project --- _gsocprojects/2026/project_ML4QDM.md | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 _gsocprojects/2026/project_ML4QDM.md diff --git a/_gsocprojects/2026/project_ML4QDM.md b/_gsocprojects/2026/project_ML4QDM.md new file mode 100644 index 0000000..e4b73bd --- /dev/null +++ b/_gsocprojects/2026/project_ML4QDM.md @@ -0,0 +1,6 @@ +## Baseline ML Strategy +- Perform exploratory data analysis (EDA) to understand detector feature distributions and data quality issues. +- Begin with classical baseline models such as Logistic Regression, Random Forest, or Gradient Boosting. +- Address class imbalance using techniques like reweighting or resampling if needed. +- Evaluate performance using Precision, Recall, F1-score, ROC-AUC, and confusion matrices. +- Use cross-validation to ensure model robustness across different data-taking periods.