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TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
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DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
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spark-rapids
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
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aistore
AIStore: scalable storage for AI applications
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NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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clara-platform-python-client
An intuitive Python 3 package to develop applications with NVIDIA Clara Deploy
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nvidia-container-runtime
NVIDIA container runtime
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nvidia-container-toolkit
Build and run containers leveraging NVIDIA GPUs
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libnvidia-container
NVIDIA container runtime library
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DALI_extra
Test data for DALI project
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TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
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nccl
Optimized primitives for collective multi-GPU communication
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HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
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NeMo
NeMo: a toolkit for conversational AI
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flowtron
Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
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nccl-tests
NCCL Tests
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PyProf
A GPU performance profiling tool for PyTorch models
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nvidia-gcp-samples
NVIDIA GPU Accelerated Application Samples in Google Cloud Platform
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gpu-operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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data-science-stack
NVIDIA Data Science stack tools
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go-nvml
Go Bindings for the NVIDIA Management Library (NVML)
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gdrcopy
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
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cccl
C++ Core Compute Libraries Documentation and Scripts
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egx-platform
Bring AI to the EDGE
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clara-dicom-adapter
DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.
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clara-train-examples
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models