GitHub
tinker
Comprehensive guide for Tinker Cookbook supervised fine-tuning covering all patterns including high-level Cookbook abstractions, low-level API usage, streaming datasets, file-based data, Blueprint configuration...
☆ 2查看技能
tools machine learning AI 技能
发现 tools machine learning 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: tools machine learning
tools machine learning 清除筛选
全部技能
GitHub
model-convergence-forecast
Forecast convergence patterns in multi-model consensus scenarios.
☆ 2查看技能
GitHub
cognitive-baseline-eval
Execute the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite to quantify AI alignment, friction maintenance, and protocol adherence.
☆ 2查看技能
GitHub
mind-parameter-modification
Modify cognitive parameters and behavioral settings.
☆ 2查看技能
GitHub
predictive-persona-performance
Predict persona performance in specific task contexts.
☆ 2查看技能
GitHub
adaptive-temporal-analysis-integration
Integrate adaptive temporal analysis for drift detection.
☆ 2查看技能
GitHub
jc-baseline-v2-1-eval
Execute Joseph Cognitive Baseline v2.1 evaluation protocol.
☆ 2查看技能
GitHub
organism-conversion-loop
Use when building AI-native products where user data can fine-tune performance, when static software fails to improve with usage, or when designing products that learn from interaction
☆ 2查看技能
GitHub
ai-annotation-workflow
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
☆ 2查看技能
GitHub
active-learning-system
Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization.
☆ 2查看技能
GitHub
automl-pipeline-setup
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
☆ 2查看技能
GitHub
categorical-encoder
Эксперт categorical encoding. Используй для ML feature engineering, one-hot, target encoding и embeddings.
☆ 2查看技能
GitHub
ml-api-endpoint
Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.
☆ 2查看技能
GitHub
google-adk-python
Build AI agents with Google's Agent Development Kit (ADK) Python - an open-source toolkit for building, evaluating, and deploying AI agents. Features LlmAgent, workflow agents (sequential, parallel, loop), tool...
☆ 2查看技能
GitHub
context-engineering
Master context engineering for AI agents - token optimization, degradation patterns, compression, memory systems, multi-agent coordination, evaluation. Use when designing agents, debugging context failures, or...
☆ 2查看技能
GitHub
training-patterns
Templates and patterns for common ML training scenarios including text classification, text generation, fine-tuning, and PEFT/LoRA. Provides ready-to-use training configurations, dataset preparation scripts, an...
☆ 2查看技能
GitHub
model-routing-patterns
Model routing configuration templates and strategies for cost optimization, speed optimization, quality optimization, and intelligent fallback chains. Use when building AI applications with OpenRouter, implemen...
☆ 2查看技能
GitHub
integration-helpers
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML...
☆ 2查看技能
GitHub
embedding-models
Embedding model configurations and cost calculators
☆ 2查看技能
GitHub
example-projects
Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs exa...
☆ 2查看技能
GitHub
ai-cache-patterns
Embedding/vector caching for AI cost optimization
☆ 2查看技能
GitHub
google-cloud-configs
Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQu...
☆ 2查看技能
GitHub
cost-calculator
Cost estimation scripts and tools for calculating GPU hours, training costs, and inference pricing across Modal, Lambda Labs, and RunPod platforms. Use when estimating ML training costs, comparing platform pric...
☆ 2查看技能
GitHub
monitoring-dashboard
Training monitoring dashboard setup with TensorBoard and Weights & Biases (WandB) including real-time metrics tracking, experiment comparison, hyperparameter visualization, and integration patterns. Use when se...
☆ 2查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。