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Pinned repositories
Repositories
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NeMo
NeMo: a toolkit for conversational AI
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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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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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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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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
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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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deepops
Tools for building GPU clusters
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waveglow
A Flow-based Generative Network for Speech Synthesis
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semantic-segmentation
Nvidia Semantic Segmentation monorepo
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TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
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DeepLearningExamples
Deep Learning Examples
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gpu-operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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gpu-monitoring-tools
Tools for monitoring NVIDIA GPUs on Linux
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retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
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gvdb-voxels
Sparse volume compute and rendering on NVIDIA GPUs
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ngc-container-replicator
NGC Container Replicator
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spark-xgboost-examples
XGBoost GPU accelerated on Spark example applications
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HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
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Q2RTX
NVIDIA’s implementation of RTX ray-tracing in Quake II
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PyProf
A GPU performance profiling tool for PyTorch models
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mellotron
Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
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VideoProcessingFramework
Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
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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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rtx_compute_samples
RTX compute samples
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framework-determinism
Providing determinism in deep learning frameworks
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pyxis
Container plugin for Slurm Workload Manager