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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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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pytorch-core🎯Skill

Streamlines PyTorch model development with optimized tensor operations, neural network layers, and training workflows for deep learning projects.

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unsloth-lora🎯Skill

Fine-tune large language models efficiently using LoRA with optimized memory and performance for machine learning practitioners.

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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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pytorch-onnx🎯Skill

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