xlstm

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    "@id": "https://agentsignals.ai/agents/xlstm",
    "name": "xlstm",
    "description": "xLSTM is an extended project based on LSTM (Long Short-Term Memory networks), aiming to enhance the capability of processing sequence data by improving the model architecture and training methods. This project is suitable for research and applications that require handling complex time series data, such as natural language processing and time series prediction.",
    "url": "https://agentsignals.ai/agents/xlstm",
    "applicationCategory": "研究",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/NX-AI/xlstm",
    "installUrl": "https://github.com/NX-AI/xlstm",
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      "description": "免费",
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    "featureList": [
      "Improved LSTM architecture",
      "Enhanced sequence data processing capability",
      "Flexible model configuration"
    ],
    "datePublished": "2025-12-05T17:14:57.978349+00:00",
    "dateModified": "2025-12-19T07:44:06.218308+00:00",
    "publisher": {
      "@type": "Organization",
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        "name": "What is xlstm?",
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          "@type": "Answer",
          "text": "xLSTM is an extended implementation of the Long Short-Term Memory network."
        }
      },
      {
        "@type": "Question",
        "name": "What features does xlstm offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Improved LSTM architecture, Enhanced sequence data processing capability, Flexible model configuration"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for xlstm?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Natural Language Processing, Time Series Forecasting, Speech Recognition"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of xlstm?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "先进的模型架构, 开放源代码, 社区支持"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of xlstm?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "需要较强的计算资源, 对初学者友好度较低"
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