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FunAudioLLM
Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
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查看技能说明FunAudioLLM
Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
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Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
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🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
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Data manipulation and transformation for audio signal processing, powered by PyTorch
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Open-source observability for your GenAI or LLM application, based on OpenTelemetry
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非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat…
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One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.
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Generate real-timestamp subtitle artifacts from final narration audio or merged video with a caption quality gate.
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100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
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Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…
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