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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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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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NeMo
NeMo: a toolkit for conversational AI
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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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jetson-gpio
A Python library that enables the use of Jetson's GPIOs
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container-config
Set up your container runtime with NVIDIA GPUs support
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MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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deepops
Tools for building GPU clusters
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TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
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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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clara-train-examples
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
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Reflex-Latency-Analyzer-Mouse-Database
Database containing all NVIDIA Reflex Latency Analyzer compatible mice
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yum-packaging-precompiled-kmod
NVIDIA precompiled kernel module packaging for RHEL
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nvaitc-toolkit
Open source code base to showcase interoperability of CUDA-X AI software stack in multi-GPU environments and thus provide researchers a reference framework to build new projects on.
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HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
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DeepLearningExamples
Deep Learning Examples
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tensorflow
An Open Source Machine Learning Framework for Everyone
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gpu-operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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Imageinary
Imageinary is a reproducible mechanism which is used to generate large image datasets at various resolutions. The tool supports multiple image types, including JPEGs, PNGs, BMPs, RecordIO, and TFRecord files
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spark-xgboost
Forked from dmlc/xgboostScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
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data-science-stack
NVIDIA Data Science stack tools

