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features 5 out of 5 stars
design 5 out of 5 stars
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What is Microsoft Cognitive Toolkit?

The Microsoft Cognitive Toolkit (CNTK) is an open-source framework that facilitates high-performance distributed deep learning applications. It models neural networks using a series of computational operations structured in a directed graph format. Developers can easily implement and combine numerous well-known model architectures such as feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). By employing stochastic gradient descent (SGD) and error backpropagation learning, CNTK supports automatic differentiation and allows for parallel processing across multiple GPUs and server environments. The toolkit can function as a library within Python, C#, or C++ applications, or it can be used as a standalone machine-learning tool that utilizes its own model description language, BrainScript. Furthermore, CNTK's model evaluation features can be accessed from Java applications, enhancing its versatility. It is compatible with 64-bit Linux and 64-bit Windows operating systems. Users have the flexibility to either download pre-compiled binary packages or build the toolkit from the source code available on GitHub, depending on their preferences and technical expertise. This broad compatibility and adaptability make CNTK an invaluable resource for developers aiming to implement deep learning in their projects, ensuring that they can tailor their tools to meet specific needs effectively.

What is DropBear?

Dropbear is a lightweight SSH server and client that functions on a range of Unix-like operating systems. Released under an MIT-style open-source license, it is readily available for developers to utilize and modify. Its architecture is especially beneficial for "embedded" Linux systems, such as those commonly utilized in wireless routers. For users wishing to keep abreast of updates or participate in discussions, there is a low-traffic mailing list open for subscriptions. Notably, Dropbear boasts a minimal memory footprint, allowing it to be compiled into a statically linked binary of only 110kB on x86 systems when using uClibc and selecting only necessary options. The server also provides support for X11 forwarding and authentication-agent forwarding for clients that utilize OpenSSH. Furthermore, users have the option to compile the server, client, key generator, and key converter into a single executable, akin to busybox, with the ability to exclude certain features during the compilation process to save space. To enhance its functionality, the software includes a multi-hop mode, which facilitates SSH TCP forwarding, allowing users to tunnel through several SSH hosts with ease in a single command. This array of features underscores Dropbear's adaptability in diverse networking contexts, contributing to its reputation as a preferred solution for projects that demand an efficient and lightweight SSH implementation. Additionally, its compatibility with various environments ensures that it remains a relevant tool for developers seeking reliable connectivity options.

Media

Media

Integrations Supported

AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Microsoft Dynamics 365 Finance
Microsoft Dynamics Supply Chain Management
Microsoft Power Platform

Integrations Supported

FreeBSD
NetBSD
OpenBSD

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

docs.microsoft.com/en-us/cognitive-toolkit/

Company Facts

Organization Name

Matt Johnston

Company Location

Australia

Company Website

matt.ucc.asn.au/dropbear/dropbear.html

Categories and Features

Deep Learning

Convolutional Neural Networks

Neural Network

Not specified

Categories and Features

SSH Clients

Not specified

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