GitHub
training-pipelines
Master training pipelines - orchestration, distributed training, hyperparameter tuning
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tools machine learning AI Skills
Discover tools machine learning skills, compare source repositories and read the instructions for each workflow.
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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
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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
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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
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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
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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
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GitHub
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
☆ 1View skill
GitHub
genai-dac-specialist
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
☆ 1View skill
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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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.