For AI researchers, a collection of resources to help make programming tasks simpler.
All images generated using Stable Diffusion Beta from Stability.AI, an Inception member.
For AI researchers, a collection of resources to help make programming tasks simpler.
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.
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 endeavours.
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin to work with neural fields (including NeRFs, NGLOD, instant-ngp, and VQAD).
Imaginaire is a PyTorch library that contains optimized implementations of several image and video synthesis methods developed at NVIDIA.
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on GPUs. NVIDIA® CUDA-X™ is a collection of libraries for AI and high-performance computing, built on top of CUDA, that let developers dramatically speed up their applications with the power of GPUs.
NVIDIA investigations often encompass more than one research area; the list of research areas allows for one way to organize our publications, people and projects.
Few things are more interesting than good conversation. And, right now, few things are more worthy of a good conversation than AI. Driven by deep learning — a technology that’s mysterious even to some of the people who have conjured it — AI is remaking everything in the world around us. And that’s given us an opportunity to speak to some of the smartest people in the world about some of today’s most interesting trends.