Average Ratings 0 Ratings
Average Ratings 3 Ratings
Description
Dropbear is a compact SSH server and client that operates on various Unix-like platforms. It is an open-source program released under an MIT-style license, making it accessible for developers. Its design is particularly advantageous for "embedded" Linux systems, like those found in wireless routers. For those interested in staying updated on new releases or engaging in discussions, a low-traffic mailing list is available for subscriptions. With an efficient memory footprint, Dropbear can be compiled into a statically linked binary of just 110kB using uClibc on x86 architecture, provided that only the essential options are selected. Additionally, the server supports X11 forwarding and authentication-agent forwarding for clients using OpenSSH. Users can compile the server, client, key generator, and key converter into a single executable, similar to busybox, with the ability to disable certain features during compilation to conserve space. The software also includes a multi-hop mode that allows SSH TCP forwarding, enabling users to tunnel through multiple SSH hosts seamlessly in a single command, demonstrating its versatility in various networking scenarios. This flexibility makes Dropbear a favored choice for projects requiring lightweight and efficient SSH solutions.
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
FreeBSD
Yes
Microsoft Dynamics 365 Finance
No
Microsoft Dynamics Supply Chain Management
No
Microsoft Power Platform
No
Integrations
AI Skills Navigator
Yes
Alteryx
Yes
AssurX
Yes
AuraQuantic
Yes
Azure Data Science Virtual Machines
Yes
Azure Database for MariaDB
Yes
FreeBSD
No
Microsoft Dynamics 365 Finance
Yes
Microsoft Dynamics Supply Chain Management
Yes
Microsoft Power Platform
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
Yes
Mac
Yes
Linux
Yes
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
Matt Johnston
Country
Australia
Website
matt.ucc.asn.au/dropbear/dropbear.html
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