Pinned repositories
Repositories
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dgx-selinux
DGX RHEL SELinux Policies
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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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NeMo
NeMo: a toolkit for conversational AI
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TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
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DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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cudnn-frontend
cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
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framework-determinism
Providing determinism in deep learning frameworks
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spark-xgboost-examples
XGBoost GPU accelerated on Spark example applications
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gdrcopy
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
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aistore
AIStore: scalable storage for AI applications
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ais-k8s
Kubernetes Operator, helm charts, and production scripts for large-scale AIStore deployments on Kubernetes.
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nvcomp
A library for fast lossless compression/decompression on the GPU
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deepops
Tools for building GPU clusters
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GPUStressTest
GPU Stress Test is a tool to stress the compute engine of NVIDIA Tesla GPU’s by running a BLAS matrix multiply using different data types. It can be compiled and run on both Linux and Windows.
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nccl-tests
NCCL Tests
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DeepLearningExamples
Deep Learning Examples
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CUDALibrarySamples
CUDA Library Samples
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DALI_deps
3rd party dependencies for DALI project
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cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
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gpu-monitoring-tools
Tools for monitoring NVIDIA GPUs on Linux
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container-config
Set up your container runtime with NVIDIA GPUs support
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swift
Forked from openstack/swiftOpenStack Storage (Swift). Mirror of code maintained at opendev.org.
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ngc-container-replicator
NGC Container Replicator
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DALI_extra
Test data for DALI project
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HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training