Average Ratings 0 Ratings
Average Ratings 3 Ratings
Description
The Fink initiative aims to introduce the extensive realm of Unix open-source software to Darwin and Mac OS X environments. By modifying Unix applications to ensure they compile and operate seamlessly on Mac OS X—essentially "porting" them—we provide users with a unified distribution available for download. Utilizing Debian tools such as dpkg and apt-get, Fink offers robust binary package management capabilities. Users have the flexibility to either download precompiled binary packages or opt to build everything from source code. The project supplies both precompiled binary options and a fully automated system for building from source. While Mac OS X comes with merely a fundamental set of command-line tools, Fink enhances these tools and presents a variety of graphical applications designed for Linux and other Unix systems. With Fink, the compilation process becomes entirely automated, freeing users from the complexities of Makefiles and configure scripts, along with their various parameters. Additionally, the dependency management system ensures that all necessary libraries are automatically accounted for, streamlining the overall user experience. As a result, Fink significantly enriches the software ecosystem available to Mac OS X users.
Description
The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AI Skills Navigator
No
Alteryx
No
AssurX
No
AuraQuantic
No
Azure Data Science Virtual Machines
No
Azure Database for MariaDB
No
DPKG
Yes
Debian
Yes
Microsoft Dynamics 365 Finance
No
Microsoft Dynamics Supply Chain Management
No
Integrations
AI Skills Navigator
Yes
Alteryx
Yes
AssurX
Yes
AuraQuantic
Yes
Azure Data Science Virtual Machines
Yes
Azure Database for MariaDB
Yes
DPKG
No
Debian
No
Microsoft Dynamics 365 Finance
Yes
Microsoft Dynamics Supply Chain Management
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fink
Website
www.finkproject.org
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
docs.microsoft.com/en-us/cognitive-toolkit/
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No