Causal state gating via ε-machine. Coworld observer that prevents action
Langue du texte source : anglais
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SkillsMP a collecté 5 417 skills depuis majiayu000/claude-skill-registry. Ouvrez un skill pour examiner sa source et ses détails.
majiayu000/claude-skill-registryAffichage de 40 skills collectés sur 5 417.
Causal state gating via ε-machine. Coworld observer that prevents action
Langue du texte source : anglais
Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML…
Langue du texte source : anglais
Use when deploying ML models to edge devices, mobile, or browser. Covers ONNX export, CoreML conversion, TensorRT optimization, quantization (PTQ/QAT), and model profiling.
Langue du texte source : anglais
Edge Model Compression enables deployment of large, accurate machine learning models on resource-constrained edge devices through techniques like quantization, pruning, knowledge distillation, and neu
Langue du texte source : anglais
Standalone embedding service for semantic search. Runs as persistent FastAPI server for millisecond-latency embeddings. Supports model swapping via env vars. Use when you need vectors for any database (ArangoDB, Pinecone, etc).
Langue du texte source : anglais
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Langue du texte source : anglais
PROTECTED - Chunking strategy and embedding dimension management
Langue du texte source : anglais
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.
Langue du texte source : anglais
Create, encode, transform, and select features before model fitting. Use when the user needs feature engineering decisions or implementation, not final training ownership or leakage auditing.
Langue du texte source : anglais
Enzyme.jl Automatic Differentiation Skill
Langue du texte source : anglais
ESM2 protein language model for embeddings and sequence scoring. Use this skill when: (1) Computing pseudo-log-likelihood (PLL) scores, (2) Getting protein embeddings for clustering, (3) Filtering designs by sequence plausibility, (4) Zero-shot variant effect…
Langue du texte source : anglais
Toolkit for protein language models (ESM3 for multimodal generative protein design; ESM C for efficient embeddings). Use when you need sequence/structure/function generation or prediction, inverse folding, protein embeddings, or scalable inference via local…
Langue du texte source : anglais
LLM and ML model evaluation with lm-evaluation-harness, HELM, and custom benchmarks. Covers metric selection, contamination detection, statistical significance, and leaderboard methodology.
Langue du texte source : anglais
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
Langue du texte source : anglais
Evaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.
Langue du texte source : anglais
Expert in temporal event detection, spatio-temporal clustering (ST-DBSCAN), and photo context understanding. Use for detecting photo events, clustering by time/location, shareability prediction, place recognition, event significance scoring, and life event…
Langue du texte source : anglais
Examensvorbereitungs-Fragen für 1. und 2. Staatsexamen erstellen: Anwendungsfall Student will Examenswissen durch gezielte Uebungsfragen trainieren und Schwachstellen erkennen. 1. StEx und 2. StEx, JAG Bundesland Bayern NRW Hamburg, Subsumtion Gutachtenstil.…
Langue du texte source : allemand
Recommends using Hydra or YAML for experiment configuration to ensure clarity and reproducibility.
Langue du texte source : anglais
Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging", "compare experiments", "hyperparameter tracking". Automatically configures tracking…
Langue du texte source : anglais
Make AI model decisions interpretable and transparent. Use for: implementing SHAP for feature importance analysis, using LIME for local explanations, creating attention visualizations for deep learning, generating counterfactual explanations, building…
Langue du texte source : anglais
Identify and document model hyperparameters from papers. Use when setting up training configurations.
Langue du texte source : anglais
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Langue du texte source : anglais
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Langue du texte source : anglais
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost optimization.
Langue du texte source : anglais
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
Langue du texte source : anglais
Multimodal AI: vision, image/video generation, speech-to-text, text-to-speech, voice synthesis.
Langue du texte source : anglais
RAG engineering: embeddings, chunking, vector databases, hybrid search, reranking.
Langue du texte source : anglais
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Langue du texte source : anglais
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Langue du texte source : anglais
AI-powered image editing with style transfer and object removal
Langue du texte source : anglais
Generate images, videos, audio, and more using fal.ai AI models. Use when user requests: "generate image", "create video", "make a picture", "text to image", "image to video", "text to speech", "transcribe audio", "edit image", "remove background", "upscale…
Langue du texte source : anglais
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
Langue du texte source : anglais
End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller. Use when calling variants from raw sequencing reads.
Langue du texte source : anglais
End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller.
Langue du texte source : anglais
Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection", "data preprocessing", "handle missing values",…
Langue du texte source : anglais
Online/offline feature serving, point-in-time correctness, Feast patterns, and feature computation design.
Langue du texte source : anglais
Count reads per gene from aligned BAM files using Subread featureCounts. Use when you have BAM files from STAR/HISAT2 and need gene-level counts for DESeq2/edgeR.
Langue du texte source : anglais
Train models across distributed clients with privacy-preserving federated algorithms
Langue du texte source : anglais
Fetch recent AI/ML research papers from arXiv RSS feeds and store them in memory. Uses RSS tool for fetching and memory MCP for storage and deduplication.
Langue du texte source : anglais
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).
Langue du texte source : espagnol