machine-learning
844
change-grug
Template-first workflow for modifying Grug/Grugformer experiments. Use when asked to change, add, or upstream a Grug model variant.
marin-community
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
machine-learning
843
nemo-evaluator-sdk
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
zechenzhangAGI
data-ai
llm-ai
841
intelligent-prompt-generator
智能提示词生成器 v2.0 - 支持人像/跨domain/设计三种模式，语义理解、常识推理、一致性检查
huangserva
data-ai
data-analysis
841
aris-paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.
OpenLAIR
data-ai
machine-learning
841
aris-experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `aris-research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
OpenLAIR
data-ai
machine-learning
841
aris-research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
OpenLAIR
data-ai
machine-learning
823
quiet-musing
Deep reasoning framework for complex tasks. Activates for multi-step problems, high uncertainty, or trade-off decisions. 复杂问题推理框架。遇到多步骤、高不确定性、需要权衡取舍的任务时启用。Triggers: analyze complex problem, make decision, weigh options, debug hard bug, architecture design, strategy planning, think it through, help me analyze, this is complicated, deep thinking | 触发场景：分析复杂问题、做决策、权衡方案、调试疑难 bug、架构设计、策略规划、想清楚再做、帮我分析一下、这个问题比较复杂、深度思考。Do NOT activate for simple Q&A, casual chat, or single-step tasks. 不要在简单问答、闲聊、单步操作时启用。
liliMozi
data-ai
data-analysis
818
travel-health-analyzer
分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。
huifer
data-ai
data-analysis
818
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
OpenCoworkAI
data-ai
machine-learning
807
axiom-ios-ml
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
CharlesWiltgen
data-ai
machine-learning
807
coreml-ref
CoreML API reference - MLModel lifecycle, MLTensor operations, coremltools conversion, compression APIs, state management, compute device availability, performance profiling.
CharlesWiltgen
data-ai
machine-learning
807
coreml
Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models, KV-cache, multi-function models, MLTensor.
CharlesWiltgen
data-ai
machine-learning
807
coreml-diag
CoreML diagnostics - model load failures, slow inference, memory issues, compression accuracy loss, compute unit problems, conversion errors.
CharlesWiltgen
data-ai
data-engineering
807
axiom-avfoundation-ref
Reference — AVFoundation audio APIs, AVAudioSession categories/modes, AVAudioEngine pipelines, bit-perfect DAC output, iOS 26+ spatial audio capture, ASAF/APAC, Audio Mix with Cinematic framework
CharlesWiltgen
data-ai
data-engineering
807
axiom-core-data-diag
Use when debugging schema migration crashes, concurrency thread-confinement errors, N+1 query performance, SwiftData to Core Data bridging, or testing migrations without data loss - systematic Core Data diagnostics with safety-first migration patterns
CharlesWiltgen
data-ai
data-engineering
807
axiom-realm-migration-ref
Use when migrating from Realm to SwiftData - comprehensive migration guide covering pattern equivalents, threading model conversion, schema migration strategies, CloudKit sync transition, and real-world scenarios
CharlesWiltgen
data-ai
data-engineering
807
axiom-sqlitedata-migration
Use when migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy
CharlesWiltgen
data-ai
data-engineering
807
axiom-sqlitedata
Use when working with SQLiteData @Table models, CRUD operations, query patterns, CloudKit SyncEngine setup, or batch imports. Covers model definitions, @FetchAll/@FetchOne, upsert patterns, database setup with Dependencies.
CharlesWiltgen
data-ai