deepopen-com/deepopen

English | 简体中文 An intent-classification framework and non-autoregressive SDK for structured decisions. DeepOpen evaluates predefined questions over text or JSON and returns labels, scores, and probabilities. It does not generate free-form text. Output types are constrained; predictions can still be wrong, and probabilities require validation on your own data. DeepOpen combines a decision SDK, dataset-specific training strategies, and reproducible Banking77 and CLINC150 evaluations. See Resources and attribution for the upstream foundations and this repository's contributions. Explore both benchmark comparisons, predictions, and evaluation evidence on Hugging Face. [](https://c41-laya-evaluation.static.hf.space/index.html?version=ensemble-2#comparison) [](https://c41-laya-evaluation.static.hf.space/index.html?version=ensemble-2#comparison) These screenshots show the selected references in the HF evaluation page (reference snapshot: 7 October 2026); they do not assign an official leaderboard rank. BANKING77 displays the best test result of three SAM seeds, selected after evaluation; the three-seed mean is 94.0368%, with no statistically established improvement over the replayed baseline. CLINC150 covers 150 in-scope intents only, without OOS detection, and combines…