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Use AutoKeras for Keras-based AutoML task APIs, custom AutoModel graphs, tuner search, and model export workflows.

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Routes Autograd install, differentiation, wrapper, extension, and optimization workflows for NumPy-based scientific Python code.

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Route AutoGPT Platform self-hosting, backend, frontend, and legacy Classic agent work to focused operating guidance.

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Guides core Autodistill workflows for foundation-model auto-labeling, target-model distillation, CLI/plugin registry use, custom model interfaces, and utilities.

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Route auto-sklearn AutoML estimator, data validation, search, custom component, and metadata-maintenance workflows.

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Route Auto-PyTorch tabular and forecasting workflows.

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Use jadore801120 attention-is-all-you-need-pytorch for Transformer architecture inspection, preprocessing, training, and checkpoint translation workflows.

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Use Atomic Agents to build schema-driven agents, integrate tools and MCP connectors, adapt example applications, and maintain the monorepo safely.

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Operate ASRT SpeechRecognition Chinese ASR data, acoustic models, pinyin language model, and serving clients.

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Use ARIS, the Auto Research in Sleep skill-based research harness, for setup, workflow routing, reviewer backend integration, state recovery, experiment operations, and repository maintenance.

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Route Asteroid tasks to the right sub-skill for pretrained inference, training recipes, custom model building, and model sharing.

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Use Astropy core for astronomy units, coordinates, times, tables, FITS/WCS files, modeling, statistics, visualization, cosmology, configuration, and public CLIs.

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Guides Attention-Gated Networks PyTorch medical imaging workflows for ultrasound classification, attention-gated U-Net segmentation, data layout, CUDA setup, and visualization helpers.

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Use audio-diffusion-pytorch for PyTorch waveform diffusion generators, text-conditioned audio generation, inpainting, upsampling, vocoding, and diffusion autoencoding.

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Use Augmentor for Pillow-based image augmentation pipelines, operation selection, mask-safe augmentation, array/generator workflows, and package-specific troubleshooting.

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Operate the Deep Researcher Agent repository for autonomous deep-learning experiments, execution backends, provider/tool dispatch, GPU resources, durable progress, and research-support integrations.

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Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One, AG Bench, and pyautogen compatibility.

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Route AutoGluon repo tasks across tabular ML, time-series forecasting, multimodal AutoML, package setup, diagnostics, and saved predictor troubleshooting.

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Routes automl_gs tabular AutoML searches and the generated runtime artifacts that those searches produce.

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Routes AXLearn training, language-model, vision, audio/ASR, and GCP CLI workflows.

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Routes BackgroundMattingV2 tasks for background matting inference, export, and training workflows.

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Route Baichuan2 chat inference, deployment/quantization, and fine-tuning workflows.

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Route BayesianOptimization package tasks for black-box Bayesian optimization, HPO, acquisition functions, constraints, typed domains, domain reduction, and checkout maintenance.

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Route BEIR repository tasks for benchmark data loading, retrieval evaluation, reranking, generation, and training workflows.

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