Shypd.aiThe largest open index of AI toolsphysicsnemo is an open-source deep-learning framework that enables building, training, and fine-tuning Physics AI models. It provides scalable, GPU-optimized training and a suite of physics-informed ML models.
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NVIDIA PhysicsNeMo is an open-source deep-learning framework designed for building, training, fine-tuning, and inferring Physics AI models using state-of-the-art SciML methods. It provides Python modules to compose scalable and optimized training and inference pipelines, enabling real-time predictions by combining physics knowledge with data. The framework supports various model architectures like neural operators, GNNs, and transformers, and is optimized for NVIDIA GPUs, offering efficient scaling from single to multi-node GPU clusters. PhysicsNeMo is built on PyTorch, ensuring a familiar experience for users, and is highly extensible for customization and integration into existing workflows. It includes modules for models, data pipelines, distributed computing, data curation, and symbolic geometry/PDEs.
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