Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
HYSEN LABS 專案目錄
來自 NVIDIA-NeMo 組織的可信儲存庫、分類與深度解析。
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost/performance optimization.
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
專案速覽:用於高效模型強化的可擴展工具包。 [04/06/2026] 新模型支援 增加了對用於 GRPO 訓練的 Qwen3.5 密集模型和 MoE 模型(LLM 和 VLM)的支援。
Scalable data pre processing and curation toolkit for LLMs
Evaluate and improve models and agents using environments
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support