Streamlines PyTorch model training with simplified distributed computing, logging, checkpointing, and advanced training workflows across GPUs and TPUs.

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notion-research-documentation🎯Skill

Automates Notion research workflows by extracting, organizing, and structuring research notes, sources, and insights into clean, actionable documentation.

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ollama-rag🎯Skill

Perform local retrieval-augmented generation using Ollama models, enabling context-aware Q&A and document analysis without external API dependencies.

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pytorch-quantization🎯Skill

Streamlines model compression and performance optimization in PyTorch by implementing quantization techniques for reduced memory and faster inference

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notion-knowledge-capture🎯Skill

Automates capturing and organizing web content, articles, and research into structured Notion databases with intelligent tagging and metadata extraction.

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torchserve🎯Skill

Deploys and manages machine learning models using PyTorch's TorchServe framework for scalable and efficient model serving

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notion-spec-to-implementation🎯Skill

Transforms Notion specifications into executable code, bridging design requirements with technical implementation across programming languages.

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torchaudio🎯Skill

Streamlines audio processing and machine learning tasks using PyTorch's torchaudio library for feature extraction, transformation, and deep learning models

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pytorch-onnx🎯Skill

Converts PyTorch models to ONNX format for cross-platform inference, optimizing deep learning model deployment and performance.