Results for “multilabel-classification”

Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.

ImageNet: A Large-Scale Hierarchical Image Database

Emu: Generative Pretraining in Multimodality

Use when you need to annotate BAM alignments with a two-character tag based on overlaps with BED, GFF, or VCF annotation files, such as labeling reads by feature class or interval source.

通用分类法抽象接口。当定义分类系统、分类结构或分层分类框架时调用此技能。

Nocaps: Novel Object Captioning at Scale

Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".

Runs a structured code review using four parallel subagents covering style, correctness, security, and performance, then synthesizes findings by severity and gives an approve/needs-changes recommendation.

融合分类系统与符号抽象能力，通过符号系统增强分类体系的表达和理解，创造更具表现力的分类框架。

Multi-project signal isolation with cascading recipe resolution

Applies medicinal-chemistry filters with the medchem library — drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, and molecular complexity metrics for compound prioritization and library cleanup. Use when filtering or triaging a compound library, flagging PAINS or reactive groups, or assessing drug-likeness of candidate molecules. Part of the AlterLab Academic Skills suite.

Cultural adaptation for translated content. Run AFTER blog-translate completes. Adjusts brand examples, CTAs, legal references, and formality for the target market (German, French, Japanese, Spanish, etc.). Deep cultural adaptation of translated blog posts. Goes beyond translation to swap brand examples, adapt CTAs, substitute legal references, localize statistic sources where possible, and adjust formality (Sie/du, tu/vous, formal/informal). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets, plus a custom-locale template. Makes content feel locally authored, not translated. Use when user says "localize blog", "blog localize", "cultural adaptation", "adapt for Germany", "adapt for France", "lokalisieren", "localiser", "adaptar".

通用多轮迭代改进：对任意研究制品反复调用 /review → 解析反馈 → 修复 → 更新 wiki，直到达标

Create publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.

Gemini: A Family of Highly Capable Multimodal Models

Reviews a PR or diff through three independent lenses—correctness, security, and test coverage—then deduplicates and validates findings before persisting them, reducing noise while catching more real bugs.

Label Noise SGD Provably Prefers Flat Global Minimizers

Multimodal Neurons in Artificial Neural Networks

DataPerf: Benchmarks for Data-Centric AI Development

对两家及以上上市公司或股票进行横向研究，覆盖大盘与板块、外围市场、供应链、重要新闻与监管、商业模式、经营财务、成长、预期、估值、股价、组合以及 A/H 股与跨上市地相对价值。适用于公司比较、选股、财报或估值对比、股价与事件复盘、供应链或监管分析、组合适配、配对交易、H 股相对价值，以及需要飞书文档、高级金融图表或可复核多维报告的任务。

Mixup: Beyond Empirical Risk Minimization

Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.

Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.