experiment-log-summarizer

What it does: - Organizes messy machine learning experiment notes into a clear summary - Sorts through training logs, test results, and parameter changes - Separates what actually happened from what you think might have happened - Identifies which settings worked best - Explains why experiments failed or succeeded - Creates a short summary ready for a weekly report. When to use it: - You ran multiple machine learning experiments and need to understand what worked - You want to compare different settings and their results - You need to figure out why an experiment did not work as expected - You are writing a weekly update and need a summary of your experiments - You have scattered notes and logs that need to be organized into one clear record.