Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign up
Pinned repositories
Repositories
-
NeMo
NeMo: a toolkit for conversational AI
-
open-gpu-doc
Documentation of NVIDIA chip/hardware interfaces
-
triton-inference-server
The Triton Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.
-
TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
-
aistore
AIStore: scalable storage for AI applications
-
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
-
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.
-
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
-
gitlab-answer-app
Simple GitHub App that notifies users of the correct way to contribute
-
gpu-monitoring-tools
Tools for monitoring NVIDIA GPUs on Linux
-
DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
-
HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
-
DeepLearningExamples
Deep Learning Examples
-
nsight-aftermath-samples
Samples for the Nsight Aftermath SDK.
-
deepops
Tools for building GPU clusters
-
PyProf
A GPU performance profiling tool for PyTorch models
-
tensorflow-determinism
Tracking, debugging, and patching non-determinism in TensorFlow
-
enroot
A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.
-
libnvidia-container
NVIDIA container runtime library
-
waveglow
A Flow-based Generative Network for Speech Synthesis
-
tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
-
spark-xgboost-examples
XGBoost GPU accelerated on Spark example applications
-
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
-
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
-
yum-packaging-precompiled-kmod
NVIDIA precompiled kernel module packaging for RHEL
-
nvidia-container-runtime
NVIDIA container runtime
-
-
container-toolkit
Build and run containers leveraging NVIDIA GPUs
-
nvidia-settings
NVIDIA driver control panel
-