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ease
features
design
support

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Description

For those in search of a lightning-fast mathematical expression parser suitable for their .Net projects, look no further. The Acid Library serves as a high-performance math expression parser specifically designed for the .Net Framework. Whether you are developing a mathematical feature for your website or a robust scientific application, the Acid Library is an excellent choice for processing numerical data. This software component is provided in a ready-to-use format compatible with Microsoft .Net Framework, ensuring seamless operation. It operates natively across various .Net languages, including C#, VB.Net, Delphi.Net, Boo.Net, and ASP.Net, without compromising on performance. Packaged as a .dll file, integration into Visual Studio 2005 or any other .Net integrated development environment is achieved with just a few simple steps. Once incorporated, you’ll find that resolving equations and evaluating mathematical expressions is both quick and efficient, enhancing your development experience considerably. Additionally, the library's straightforward functionality allows developers to focus more on innovation rather than troubleshooting.

Description

Quickly set up a virtual machine on Google Cloud for your deep learning project using the Deep Learning VM Image, which simplifies the process of launching a VM with essential AI frameworks on Google Compute Engine. This solution allows you to initiate Compute Engine instances that come equipped with popular libraries such as TensorFlow, PyTorch, and scikit-learn, eliminating concerns over software compatibility. Additionally, you have the flexibility to incorporate Cloud GPU and Cloud TPU support effortlessly. The Deep Learning VM Image is designed to support both the latest and most widely used machine learning frameworks, ensuring you have access to cutting-edge tools like TensorFlow and PyTorch. To enhance the speed of your model training and deployment, these images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers, as well as the Intel® Math Kernel Library. By using this service, you can hit the ground running with all necessary frameworks, libraries, and drivers pre-installed and validated for compatibility. Furthermore, the Deep Learning VM Image provides a smooth notebook experience through its integrated support for JupyterLab, facilitating an efficient workflow for your data science tasks. This combination of features makes it an ideal solution for both beginners and experienced practitioners in the field of machine learning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
MXNet
NVIDIA DRIVE
PyTorch
TensorFlow

Integrations

Chainer
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
MXNet
NVIDIA DRIVE
PyTorch
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Blue Analysis

Country

Denmark

Website

www.blueanalysis.com/acidlibrary.php

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/deep-learning-vm

Product Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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