HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the NVIDIA organization.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
Project brief: Agent Skills for NVIDIA products, install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. Skill Catalog Product | Description | Skills | AIQ | NVIDIA AI-Q Blueprint - deploy local AI-Q services and run shallow or deep research workflows as agent skills.
CUDA Python: Performance meets Productivity
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
CUDA Core Compute Libraries
`std::execution`, the standard C++ framework for asynchronous and parallel programming.
Router that virtually distributes inference across connected devices in the home.
LLM KV cache compression made easy
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
cuVS - a library for vector search and clustering on the GPU
Differentiable signal processing on the sphere for PyTorch
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.
High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI
Our inference and training framework to run on the Cosmos Models