a general library for fatigue and reliability

Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.

Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.

This is the companion code for the contributions reported in the paper LLM-Supported Manufacturing Mapping Generation.

code and data for the paper "p2-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models."

Accompanying code for the ICCV2025 paper "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning"

Accompanying code for the AAAI2026 paper "Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning"

Official implementation of "Stealix: Model Stealing via Prompt Evolution" (ICML 2025)