GitHub
training-pipelines
Master training pipelines - orchestration, distributed training, hyperparameter tuning
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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
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GitHub
mlops-basics
Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption
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GitHub
ml-infrastructure
Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization
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GitHub
data-cleaning
Data cleaning, preprocessing, and quality assurance techniques
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GitHub
data-engineering
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
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GitHub
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
☆ 1查看技能
GitHub
continuous-monitoring
Real-time monitoring and detection of adversarial attacks and model drift in production
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GitHub
model-inversion
Privacy attacks to extract training data and sensitive information from AI models
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GitHub
secure-deployment
Security best practices for deploying AI/ML models to production environments
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GitHub
adversarial-training
Defensive techniques using adversarial examples to improve model robustness and security
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GitHub
model-extraction
Techniques to extract model weights, architecture, and training data through API queries
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GitHub
huggingface-model-trainer
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
☆ 1查看技能
GitHub
knowledge-updater
Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices
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GitHub
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
☆ 1查看技能
GitHub
genai-dac-specialist
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
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GitHub
finops-ai-expert
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
☆ 1查看技能
GitHub
finops-ai-expert
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
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GitHub
huggingface-model-trainer
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
☆ 1查看技能
GitHub
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
☆ 1查看技能
GitHub
genai-dac-specialist
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
☆ 1查看技能
GitHub
pr-feedback-training-first-loop
Extract, learn, and integrate PR feedback into the Violet brain
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GitHub
ai-ml-technologies
Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
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GitHub
data-ai-ml-skill
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
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GitHub
data-ai-skills
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
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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。