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About Auger

Auger is a machine learning platform from DeepLearning that helps automate the model development process. It provides data visualization, automated feature engineering, and model evaluation so users can accelerate their machine learning projects. The platform supports various data sources and integrates with popular tools to facilitate collaboration among data science teams. Auger also offers automated hyperparameter tuning to improve model performance efficiently. Key capabilities: data visualization automated feature engineering model evaluation hyperparameter tuning tool integration Best for: data scientists and machine learning engineers that need to simplify their model development workflows.

Auger Details

Vendor
DeepLearning
Year Launched
Location
Verti-Crete 1995 E. Vista Bella Way Casa Grande, AZ 85122
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese
Users
Architects, Civil Engineers, Structural Engineers, Construction Managers, Project Managers
Industries Served
Healthcare, Education, Finance, Retail
Tags
Deep Learning, Artificial Intelligence, Verti-Crete, Augmented Reality, Construction Industry

Auger's In-App Market Place

Does Auger have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

10

Mini Apps

1. TensorFlow: A popular open-source machine learning framework developed by Google

used for deep learning tasks such as neural network training and deployment.

2. Keras: An easy-to-use deep learning library that runs on top of TensorFlow

providing a high-level interface for building and training neural networks.

3. PyTorch: Another open-source deep learning framework that is widely used for research and production applications

known for its flexibility and dynamic computation graph.

4. MXNet: A deep learning framework that supports both symbolic and imperative programming

optimized for performance on various hardware architectures.

5. Caffe: A deep learning framework popular for its speed and scalability

particularly well-suited for convolutional neural networks used in image recognition tasks.

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (CA$), JPY (¥), CHF (Fr.), CNY (¥), INR (₹), MXN (Mex$), SGD (S$), KRW (₩), RUB (₽), BRL (R$), TRY (₺), ZAR (R)

Pros & Cons

  • Streamlines the process of creating deep learning models for Verti-Crete structures
  • Increases efficiency and accuracy in designing and planning projects
  • Provides advanced machine learning capabilities for optimized results
  • Offers customizations and options for unique project requirements
  • Enhances collaboration and communication among team members
  • Steeper learning curve for beginners due to complex features
  • Limited documentation and tutorials available for troubleshooting
  • High resource consumption leading to slower performance on older hardware
  • Lack of integrations with popular platforms and tools
  • Occasional bugs and glitches impacting usability and reliability.

Auger's Support Options

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