Titan AI LogoTitan AI

DeepLearningExamples

14,543
3,373
Jupyter Notebook

Project Description

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

DeepLearningExamples: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproduci

Project Title

DeepLearningExamples — State-of-the-Art Deep Learning Scripts for NVIDIA GPUs

Overview

DeepLearningExamples is a repository of state-of-the-art deep learning scripts organized by models, designed for easy training and deployment on NVIDIA GPUs. It leverages the NVIDIA CUDA-X software stack to achieve reproducible accuracy and performance. The project stands out for its focus on enterprise-grade infrastructure and support for various deep learning models and frameworks.

Key Features

  • Supports NVIDIA Volta, Turing, and Ampere GPUs
  • Provides Docker containers with NVIDIA's deep learning software stack
  • Includes a variety of deep learning models and frameworks
  • Offers support for AMP, Multi-GPU, and TensorRT

Use Cases

  • Researchers and data scientists looking to train and deploy deep learning models on NVIDIA GPUs
  • Enterprises needing reproducible accuracy and performance for deep learning applications
  • Developers working with computer vision models, such as EfficientNet

Advantages

  • Utilizes NVIDIA's optimized deep learning software libraries for best performance
  • Provides a monthly updated Docker container for easy setup and deployment
  • Offers a wide range of state-of-the-art deep learning examples

Limitations / Considerations

  • The project is specifically designed for NVIDIA GPUs, limiting its use on other hardware
  • The license is currently unknown, which may affect its adoption in certain projects

Similar / Related Projects

  • TensorFlow: An open-source machine learning framework that also supports NVIDIA GPUs, but does not focus specifically on deep learning examples.
  • PyTorch: A popular deep learning framework that offers GPU support, but does not provide the same level of integration with NVIDIA's software stack as DeepLearningExamples.
  • MXNet: A deep learning framework that supports multiple languages and also provides GPU support, but lacks the specific focus on NVIDIA GPUs found in DeepLearningExamples.

Basic Information


📊 Project Information

🏷️ Project Topics

Topics: [, ", c, o, m, p, u, t, e, r, -, v, i, s, i, o, n, ", ,, , ", d, e, e, p, -, l, e, a, r, n, i, n, g, ", ,, , ", d, r, u, g, -, d, i, s, c, o, v, e, r, y, ", ,, , ", f, o, r, e, c, a, s, t, i, n, g, ", ,, , ", l, a, r, g, e, -, l, a, n, g, u, a, g, e, -, m, o, d, e, l, s, ", ,, , ", m, x, n, e, t, ", ,, , ", n, l, p, ", ,, , ", p, a, d, d, l, e, p, a, d, d, l, e, ", ,, , ", p, y, t, o, r, c, h, ", ,, , ", r, e, c, o, m, m, e, n, d, e, r, -, s, y, s, t, e, m, s, ", ,, , ", s, p, e, e, c, h, -, r, e, c, o, g, n, i, t, i, o, n, ", ,, , ", s, p, e, e, c, h, -, s, y, n, t, h, e, s, i, s, ", ,, , ", t, e, n, s, o, r, f, l, o, w, ", ,, , ", t, e, n, s, o, r, f, l, o, w, 2, ", ,, , ", t, r, a, n, s, l, a, t, i, o, n, ", ]


📚 Documentation


This article is automatically generated by AI based on GitHub project information and README content analysis

Titan AI Explorehttps://www.titanaiexplore.com/projects/deeplearningexamples-131881622en-USTechnology

Project Information

Created on 5/2/2018
Updated on 10/31/2025