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Check out a collection of resources that simplify programming tasks for AI researchers. These open-source resources are available to all and include NVIDIA Sionna, Kaolin, Kaolin Wisp, Imaginaire, and CUDA-X™.
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Sionna is a GPU-accelerated open-source library for physical-layer research and link-level simulations based on TensorFlow. It enables rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. Sionna ›
Kaolin is a PyTorch library that accelerates 3D deep learning research by providing efficient implementations of differentiable 3D modules. Importantly, a comprehensive model zoo comprising many state-of-the-art 3D deep learning architectures has been curated to serve as a starting point for future research endeavors. Kaolin ›
Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin to work with neural fields (including NeRFs, NGLOD, instant-ngp, and VQAD). Kaolin Wisp ›
Imaginaire is a PyTorch library that contains optimized implementations of several image and video synthesis methods developed at NVIDIA. Imaginaire ›
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on GPUs. CUDA-X™ is a collection of libraries for AI and high-performance computing built on top of CUDA that lets developers dramatically speed up their applications with the power of GPUs. CUDA-X ›