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ai-ml-skills

Skill298 starsChanged 8 months agoMITView on GitHub

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

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SKILL.md

AI & Machine Learning — 27 Skills

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
ai-agent-papers-guideCurated 2024-2026 AI agent research papers collection
ai-model-benchmarkingBenchmark AI models across 60+ academic evaluation suites and metrics
anomaly-detection-papers-guideIndustrial anomaly detection methods and benchmark papers
autonomous-agents-papers-guideDaily-updated collection of autonomous AI agent papers
computer-vision-guideApply computer vision research methods, models, and evaluation tools
deep-learning-papers-guideAnnotated deep learning paper implementations with code walkthroughs
dl-transformer-finetuneBuild transformer fine-tuning plans for classification and generation
domain-adaptation-papers-guideComprehensive collection of domain adaptation research papers
generative-ai-guideCurated guide to generative AI covering LLMs and diffusion models
graph-learning-papers-guideConference papers on graph neural networks and graph learning
huggingface-apiSearch and discover ML models, datasets, and Spaces on Hugging Face
huggingface-inference-guideRun NLP and CV model inference via Hugging Face free-tier API
keras-deep-learningBuild and debug deep learning models with Keras and TensorFlow backend
kolmogorov-arnold-networks-guidePapers and tutorials on KAN learnable activation networks
llm-evaluation-guideEvaluate and benchmark large language models for research applications
llm-from-scratch-guideBuild a ChatGPT-like LLM from scratch using PyTorch step by step
ml-pipeline-guideBuild and deploy reproducible production ML pipelines for research
nlp-toolkit-guideNLP analysis with perplexity scoring, burstiness, and entropy metrics
npcpy-research-guideAll-in-one Python library for NLP, agents, and knowledge graphs
prompt-engineering-researchSystematic prompt engineering methods for AI-assisted academic research workf...
pytorch-guideAvoid common PyTorch mistakes and apply robust training patterns
pytorch-lightning-guidePyTorch Lightning framework for scalable model training and research
reinforcement-learning-guideReinforcement learning fundamentals, algorithms, and research
responsible-ai-guideResources for trustworthy, fair, and ethical AI research
tensorflow-guideTensorFlow best practices for tf.function, GPU memory, and deployment
transformer-architecture-guideGuide to Transformer architectures for NLP and computer vision
vmas-simulator-guideVectorized multi-agent reinforcement learning simulator

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