Open-source tabular model validation toolkit TanML needs feedback [D]

<!-- SC_OFF --><div class="md"><p>Built a third-party quality rating system for ML datasets. Multi-oracle (7 scorers across 5 algorithm families), conformal prediction intervals

<!-- SC_OFF --><div class="md"><p>Most classification metrics for oncology AI models (AUC, ICC, MAE) measure global agreement. They don't answer the question that actually matters

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1sn3nq0/need_feedback_on_my_senior_thesis_an_automated/"> <img alt="Need feedback on my Senior Thesis:

<!-- SC_OFF --><div class="md"><p>I built a small web app that lets you run tabular foundation models (currently just Google's TabFM) on spreadsheets without writing any code.</p>

<!-- SC_OFF --><div class="md"><p>Hey Guys,</p> <p>I built a small open-source tool that checks whether a RAG application retrieves documents a user shouldn’t have access to.</p>

<!-- SC_OFF --><div class="md"><p>(to preface, i'm 16 and this is the first package i've ever built. any feedback would be appreciated!)</p> <p>what i've noticed is that most

<!-- SC_OFF --><div class="md"><pre><code>We released an open-source architecture for independent AI agent verification. The core idea: the agent that built something should never