machine-learning
1
experiment-analysis
Analyze GRPO training runs for learning dynamics and pipeline performance. Use when diagnosing training issues, reviewing Elo progression, checking throughput, or updating experiment results.
bglick13
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
machine-learning
1
nixtla-cross-validator
Performs rigorous time series cross-validation using expanding and sliding windows. Use when needing to evaluate the performance of time series models on unseen data. Trigger with "cross validate time series", "evaluate forecasting model", "time series backtesting".
intent-solutions-io
data-ai
machine-learning
1
model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Nymbo
data-ai
machine-learning
1
adversarial-training
Defensive techniques using adversarial examples to improve model robustness and security
pluginagentmarketplace
data-ai
machine-learning
1
feature-engineering
Feature engineering techniques including feature extraction, transformation, selection, and feature store management for ML systems.
doanchienthangdev
data-ai
machine-learning
1
managing-cache-and-optimization
Use when managing Shannon CLI performance and costs - check cache statistics, clear stale entries, set budgets, understand automatic model selection and cost optimization
krzemienski
data-ai
machine-learning
1
plan-mode-arc-gsm8k-improvement
AEGISモデルのARC-Challenge評価改善とGSM8K健全性チェックのためのPlanモード。タイムアウト率・抽出失敗率分析、頑健な回答抽出、データ汚染検査、複数seed評価を実行。
zapabob
data-ai
machine-learning
1
zrl-parameter-optimizer
This skill should be used when optimizing strategy parameters through grid search, random search, or Bayesian optimization. It provides systematic approaches to find optimal parameter combinations while avoiding overfitting through cross-validation and walk-forward methods.
JeanBaissari
data-ai
machine-learning
1
ml-systems
Machine Learning Systems - comprehensive knowledge for building production ML systems from data engineering through deployment and operations. Based on Harvard ML Systems course and Designing ML Systems by Chip Huyen.
doanchienthangdev
data-ai
machine-learning
1
ml-monitoring
Production-grade ML model monitoring, drift detection, and observability
pluginagentmarketplace
data-ai
machine-learning
1
adversarial-machine-learning
Guide for adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks.
gmh5225
data-ai
machine-learning
1
machine-learning
Python machine learning with scikit-learn, PyTorch, and TensorFlow
pluginagentmarketplace
data-ai
machine-learning
1
yaml-configuration
YAML for configuration-driven engineering workflows, model setup, and analysis parameters
vamseeachanta
data-ai
machine-learning
1
deployment-paradigms
ML deployment paradigms including batch vs real-time inference, online vs offline serving, edge deployment, and serverless ML.
doanchienthangdev
data-ai
machine-learning
1
clustering
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
pluginagentmarketplace
data-ai
machine-learning
1
training-optimization
Advanced techniques for optimizing LLM fine-tuning. Covers learning rates, LoRA configuration, batch sizes, gradient strategies, hyperparameter tuning, and monitoring. Use when fine-tuning models for best performance.
ScientiaCapital
data-ai
machine-learning
1
ml-fundamentals
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
pluginagentmarketplace
data-ai
machine-learning
1
data-engineering
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
pluginagentmarketplace
data-ai
machine-learning
1
powergraph-gnn-research
Research pipeline for topology-aware GNN representation learning on power grids using the PowerGraph benchmark. Use when (1) building physics-guided GNNs for power flow (PF), optimal power flow (OPF), or cascading failure prediction, (2) implementing self-supervised pretraining for power systems, (3) evaluating cascade explanation fidelity against ground-truth masks, or (4) conducting reproducible ML-for-power-systems research. Triggers include "PowerGraph", "power flow GNN", "OPF surrogate", "cascade prediction", "physics-guided GNN", "grid analytics ML", "power system representation learning".
mhdhazmi
data-ai