This is a collection of performance-optimized frameworks, SDKs, and models to build Computer Vision and Speech AI applications.

nvidiaai

This collection contains performance-optimized AI frameworks including PyTorch and TensorFlow

nvidia_dlfw

Looking to get started with containers and models on NGC? This is the place to start.

gettingstarted

This collection provides access to the top HPC applications for Molecular Dynamics, Quantum Chemistry, and Scientific visualization.

nvidia_hpc

A convolutional neural network for 3D image segmentation.

unet_3d-medical_tf1

Quickly develop and provide accurate and engaging English intelligent virtual assistant for contact centers, at a large scale, around the clock, at lower operational costs.

intelligent_virtual_assistant_workflow

Attain the best possible real-time English transcription accuracy with customization for the financial service industry use case.

transcription_workflow

5 class action recognition network to recognize what people do in an image.

actionrecognitionnet

NVIDIA Aerial includes a set of SDKs that enables GPU-accelerated, software-defined 5G NR 
(3GPP rel. 15) wireless RANs.

aerial-sdk

Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.

trains-agent

trains-chart

Transformer-Large language model for English ASR, Trained on LibriSpeech text corpus with NeMo

asrlm_en_transformer_large_ls

Text/Audio aligner based on QuartzNet 5x5 for durations extraction

asr_talknet_aligner

Deep learning toolkit for coverage track denoising and peak calling from low-coverage or low-quality ATAC-Seq data

atacworks

The AutoDock Suite is a growing collection of methods for computational docking and virtual screening, for use in structure-based drug discovery and exploration of the basic mechanisms of biomolecular structure and function.

autodock

A collection of easy to use, highly optimized Deep Learning Models for Recommender Systems. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models

automaticspeechrecognition

Autovox, by Cogknit Semantics, is a voice OS platform, providing multiple language models: ASR, MT and TTS. This limited access ASR container converts Hindi Audio to Hindi Text.

autovox-hindi-asr

A collection of example notebooks that show you how to make the most out of NGC's containers, models and resources in AWS SageMaker

aws_sagemaker_examples

Download pre-configured setup files to launch and fine-tune the Clara Train COVID-19 CT Scan Classification model on AzureML using the NGC-AzureML Quick Launch Toolkit

amlquicklaunch_config_clara_covid19_ctscan_example

Downloads pre-configured setup files to quick launch an NVIDIA TAO Jupyter Notebook on Azure Machine Learning with the appropriate resources (Compute Cluster and Environment). The set up is done using the NGC-AzureML Quick Launch Toolkit.

azureml_quick_launch_tao

Download pre-configured setup files to launch and train a Taxi Fare Prediction model with RAPIDS using Dask on AzureML using the NGC-AzureML Quick Launch Toolkit

amlquicklaunch_config_rapids_dask_taxi_fare_example

BART is a denoising autoencoder for pretraining sequence-to-sequence models.

bart_pyt

BART PyT checkpoint for summarization on CNN-DM dataset

bart__pyt_ckpt_ds-cnndm

BART PyT checkpoint for summarization on XSum dataset

bart__pyt_ckpt_ds-xsum

PyTorch codebase for training and using BART model

bart-pyt

BERT is a method of pre-training language representations which obtains state-of-the-art results on a wide array of NLP tasks.