DeepLearningExamples

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DeepLearningExamples is an Open Source & Models tool that provides state-of-the-art deep learning scripts organized by models. It offers easy-to-train and deploy examples with reproducible accuracy and performance on enterprise-grade infrastructure.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is DeepLearningExamples?

DeepLearningExamples is a comprehensive repository from NVIDIA, offering state-of-the-art deep learning scripts. These examples are meticulously organized by models, making them easy to train and deploy while ensuring reproducible accuracy and performance. The platform is designed for enterprise-grade infrastructure, leveraging the NVIDIA CUDA-X software stack and optimized for NVIDIA Volta, Turing, and Ampere GPUs. It includes a wide array of models across computer vision, natural language processing, recommender systems, speech to text, text to speech, graph neural networks, and time-series forecasting. The examples are provided within monthly updated Docker containers on the NGC container registry, ensuring users have access to the latest NVIDIA examples, framework contributions, and optimized deep learning software libraries like cuDNN and NCCL.

Best used for

Ideal for developers who need to quickly train and deploy state-of-the-art deep learning models, benchmark performance on NVIDIA GPUs, and integrate optimized models into enterprise-grade infrastructure. Especially valuable for researchers and engineers working on computer vision, NLP, and recommender systems.

Common actions

train deep learning models

deploy deep learning models

benchmark AI performance

develop AI applications

open-sourceworkflowsautomated workflowface swappingcollaborationgithub copilot"AI Agents"deepfakelow-code/no-code

Capabilities

Key features

State-of-the-art deep learning scripts
Reproducible accuracy and performance
NVIDIA GPU optimization
Docker container deployment
Computer Vision models
Natural Language Processing models
Recommender Systems models

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of deep learning models are included in DeepLearningExamples?

DeepLearningExamples covers a wide range of models including Computer Vision (e.g., EfficientNet, Mask R-CNN, ResNet), Natural Language Processing (e.g., BERT, ELECTRA, GNMT), Recommender Systems (e.g., DLRM, NCF), Speech to Text (e.g., Jasper, QuartzNet), Text to Speech (e.g., FastPitch, Tacotron 2), Graph Neural Networks, and Time-Series Forecasting.

How are the DeepLearningExamples optimized for performance?

The examples are optimized for NVIDIA Volta, Turing, and Ampere GPUs using the NVIDIA CUDA-X software stack. They support features like Automatic Mixed Precision (AMP), multi-GPU and multi-node training, TensorRT, and Triton Inference Server for enhanced performance and deployment efficiency.

Where can I access the DeepLearningExamples and their software stack?

The examples, along with NVIDIA's deep learning software stack, are provided in monthly updated Docker containers on the NVIDIA GPU Cloud (NGC) container registry. These containers include the latest examples, framework contributions, and optimized deep learning libraries.

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Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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AI Agents & Automation › AI Frameworks & Infra

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