Average Ratings 0 Ratings
Average Ratings 0 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
Luminal is a high-performance machine-learning framework designed with an emphasis on speed, simplicity, and composability, which utilizes static graphs and compiler-driven optimization to effectively manage complex neural networks. By transforming models into a set of minimal "primops"—comprising only 12 fundamental operations—Luminal can then implement compiler passes that swap these with optimized kernels tailored for specific devices, facilitating efficient execution across GPUs and other hardware. The framework incorporates modules, which serve as the foundational components of networks equipped with a standardized forward API, as well as the GraphTensor interface, allowing for typed tensors and graphs to be defined and executed at compile time. Maintaining a deliberately compact and modifiable core, Luminal encourages extensibility through the integration of external compilers that cater to various datatypes, devices, training methods, and quantization techniques. A quick-start guide is available to assist users in cloning the repository, constructing a simple "Hello World" model, or executing larger models like LLaMA 3 with GPU capabilities, thereby making it easier for developers to harness its potential. With its versatile design, Luminal stands out as a powerful tool for both novice and experienced practitioners in machine learning.
API Access
Has API
No
API Access
Has API
Yes
Integrations
FreeBSD
Yes
Hugging Face
No
Llama 3
No
NetBSD
Yes
OpenBSD
Yes
Integrations
FreeBSD
No
Hugging Face
Yes
Llama 3
Yes
NetBSD
No
OpenBSD
No
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
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)
Yes
In Person
No
Vendor Details
Company Name
Matt Johnston
Country
Australia
Website
matt.ucc.asn.au/dropbear/dropbear.html
Vendor Details
Company Name
Luminal
Country
United States
Website
luminalai.com
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No