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 DIRECTORY
Verified repositories, classifications and analysis from the NVIDIA-NeMo organization.
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.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
Project brief: Scalable toolkit for efficient model reinforcement. [04/06/2026] New Model Support Added support for Qwen3.5 dense and MoE models (LLM and VLM) for GRPO training.
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