Results for “multiclass-classification”

29 skills
More results
ekatasingh1107
Lead Qualifier
Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.
2 · bundle
jiachen-t-wang
Multimodal Few Shot Learning With Frozen Language Models Arx
Multimodal Few-Shot Learning with Frozen Language Models
6
jiachen-t-wang
Matryoshka Representation Learning Arxiv 2205 13147v4
Matryoshka Representation Learning
6
jiachen-t-wang
Influence Functions In Deep Learning Arxiv 2002 08484v3
Influence Functions in Deep Learning
6
intense-visions
DB Mvcc
MVCC (Multi-Version Concurrency Control)
18 · bundle
oxoyo
Aa Clazz
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。
1 · bundle
netanel-abergel
Memory Tiering
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".
6
jiachen-t-wang
Emu Generative Pretraining In Multimodality Arxiv 2307 05222
Emu: Generative Pretraining in Multimodality
6
jiachen-t-wang
Demystifying Clip Data Arxiv 2309 16671v4
Demystifying CLIP Data
6
snoodleboot-io
Cross Validation Strategies
Cross-validation only estimates generalization if the split mimics the gap between
2
jiachen-t-wang
Llama 3 The Llama 3 Herd Of Models Arxiv 2407 21783v2
Llama 3: The Llama 3 Herd of Models
6
jiachen-t-wang
Emu2 Generative Multimodal Models Are In Context Learners Ar
Emu2: Generative Multimodal Models are In-Context Learners
6
jiachen-t-wang
Scaling Instruction Finetuned Language Models Arxiv 2210 114
Scaling Instruction-Finetuned Language Models
6
smith6jt-cop
Multi Project Batch Isolation
Multi-project signal isolation with cascading recipe resolution
3
jiachen-t-wang
Mantis Interleaved Multi Image Instruction Tuning Arxiv 2405
Mantis: Interleaved Multi-Image Instruction Tuning
6
jarbitechture
Critique
Multi-perspective dialectical reasoning with cross-evaluative synthesis. Spawns parallel evaluative lenses (STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC) that critique thesis AND critique each other's critiques, producing N-squared evaluation matrix before recursive aggregation. Triggers on /critique, /dialectic, /crosseval, requests for thorough analysis, stress-testing arguments, or finding weaknesses. Implements Hegelian refinement enhanced with interleaved multi-domain evaluation and convergent synthesis.
0 · bundle
jiachen-t-wang
Gemini A Family Of Highly Capable Multimodal Models Arxiv 23
Gemini: A Family of Highly Capable Multimodal Models
6
agentskillexchange
Multi Lens Review
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.
28
sdiamante13
Srp
Refactors a class toward the Single Responsibility Principle by identifying responsibilities, grouping cohesive behavior, and extracting focused classes.
7
bouclem
Deep Learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
7 · bundle
ahang1598
Multi Stock Comparison
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。
9 · bundle
jiachen-t-wang
Multimodal Neurons In Artificial Neural Networks Arxiv 2103
Multimodal Neurons in Artificial Neural Networks
6
jiachen-t-wang
Multimodal Learning With Transformers A Survey Arxiv 2206 06
Multimodal Learning with Transformers: A Survey
6
jiachen-t-wang
Imagenet A Large Scale Hierarchical Image Database Crossref
ImageNet: A Large-Scale Hierarchical Image Database
6
shenxingy
Learn
Record, search, and prune per-project learnings in .claude/learnings.jsonl — typed, confidence-scored, searchable across sessions
8 · bundle
qhjqhj00
Recall
Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.
3
qhjqhj00
Eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3