Search: "machine learning"
Showing 24 of 24 results
Transformers.js
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summar...
Homemade Machine Learning Skill
Machine learning skill: find, explain, and implement ML algorithms with interactive Jupyter Notebook links. Covers linear regression, logistic regression, ne...
Financial Machine Learning
Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Financial Machine Learning concepts, best practices, and implemen...
R Machine Learning Workbench
全面R语言机器学习工作台，涵盖数据划分、特征工程、模型训练（随机森林、XGBoost、LASSO、SVM）、调优与生存分析。
Local Self-Healing Machine Learning
A fully local machine learning engine that makes your OpenClaw agent smart over time — without ever calling home, revealing your machine ID, or exposing any...
machine-learning-engineer
Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems. Masters model optimization, real-time infere...
Machine Learning Roadmap
Follow a structured ML roadmap connecting concepts, tools, and learning resources. Use when planning study paths, discovering resources, mapping skills.
classical-ml-drug-discovery
Build defensible molecular ML for drug discovery — QSAR, virtual screening, ADMET, toxicity, binding affinity, drug-target models — with Random Forest, SVM/SVR, and Gradient Boosting, plus dataset analysis, inductive conformal prediction, multi-model consensus, diversity-aware batch selection, and cheminformatics-aware interpretation. Use for curating bioactivity data, comparing RF/SVM/XGBoost, leakage-resistant validation, library screening, calibrated uncertainty, disagreeing-model reconciliation, diverse assay-batch selection, feature-to-molecule mapping, applicability-domain assessment, or auditing a molecular ML paper.
Geoskill: Landslide Susceptibility Assessment
Integrate terrain, geology, rainfall, land cover, roads, and historical landslide data to produce interpretable susceptibility zoning with spatial cross-validation.
Cluster
Perform data clustering analysis using k-means and hierarchical algorithms. Use when you need to group, classify, or segment datasets.
Self-Smarter Everyday
Autonomous daily self-improvement system for AI agents. Runs nightly self-reflection, self-audit, memory compaction, prompt evolution, and skill gap analysis at 2AM. Agent automatically gets smarter every day through structured introspection and continuous learning loops.
Optim Agent
Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference, quantitat...
Numerai Tournament
Autonomous Numerai tournament participation — train models, submit predictions, and earn NMR cryptocurrency.
Voice Note To Midi
Convert voice notes, humming, and melodic audio recordings to quantized MIDI files using ML-based pitch detection and intelligent post-processing
Pilot Ml Training Pipeline Setup
Deploy an end-to-end ML training pipeline with 4 agents. Use this skill when: 1. User wants to set up a machine learning training pipeline 2. User is configu...
Pilot Data Labeling Pipeline Setup
Deploy a data labeling pipeline with 4 agents for ingestion, auto-labeling, quality review, and dataset export. Use this skill when: 1. User wants to set up...
Arxiv Paper Downloader
Download 47+ essential AI/ML papers from arXiv with pre-curated collections for agent testing, autonomous agents, and large language models
Pilot Model Share
Distribute ML model files with model card metadata and version tracking over Pilot Protocol. Use this skill when: 1. You need to share PyTorch, ONNX, or Safe...
Automl Skill
AutoML 自动化机器学习技能 | Automated Machine Learning Skill. 基于 PyCaret 进行低代码机器学习建模，支持分类、回归、聚类、异常检测、时间序列预测、自然语言处理和关联规则挖掘等任务。 未来将集成更多 AutoML 库（如 AutoGluon、FLAML 等）。 当...
Ctf Ai Ml
Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, pro...
agent-neural-network
--- name: flow-nexus-neural description: Neural network training and deployment specialist. Manages distributed neural network training, inference, and model lifecycle using Flow Nexus cloud infrastructure. color: red --- You are a Flow Nexus Neural Network Agent, an expert in distributed machine learning and neural network orchestration. Your expertise lies in training, deploying, and managing neural networks at scale using cloud-powered distributed computing. Your core responsibilities: - Design and confi
pennylane
# PennyLane ## Overview PennyLane is a quantum computing library that enables training quantum computers like neural networks. It provides automatic differentiation of quantum circuits, device-independent programming, and seamless integration with classical machine learning frameworks. ## Installation PennyLane 0.45.0 requires Python 3.11 or newer. Install using uv with pinned versions for reproducible environments: ```bash uv pip install "pennylane==0.45.0" ``` For quantum hardware access, install the plug
deepchem
# DeepChem ## Overview DeepChem is a comprehensive Python library for applying machine learning to chemistry, materials science, and biology. Enable molecular property prediction, drug discovery, materials design, and biomolecule analysis through specialized neural networks, molecular featurization methods, and pretrained models. **Version note:** Examples target **deepchem 2.8.0** (PyPI stable, Apr 2024). Requires **Python 3.7–3.11** (`<3.12` on PyPI). Core utilities (loaders, featurizers, MoleculeNet) wor
scikit-learn
# Scikit-learn ## Overview This skill provides comprehensive guidance for machine learning tasks using scikit-learn, the industry-standard Python library for classical machine learning. Use this skill for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building production-ready ML pipelines. ## Installation Tested against **scikit-learn 1.8.0** (stable; December 2025). Requires **Python 3.11–3.14** (free-threaded CPython 3.14 wheels available in 1.8+).