About
Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP.
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About
HTTPCS solutions comparison vs the other automated tools on the cybersecurity market. The features of each HTTPCS solution have been compared to the features of alternative solutions available on the cybersecurity market. Click on a tab and discover HTTPCS, a complete alternative to other cybersecurity solutions. 4 tools have been compared to HTTPCS Cyber Vigilance, a darknet monitoring tool that warns you in real-time if your organization becomes the target of a cyberattack. 6 tools to scan and detect security breaches on websites have been compared to HTTPCS Security, the vulnerability scanner with a 0 false-positive guarantee. 4 web integrity monitoring products and viewing of changes have been compared to HTTPCS Integrity, a cybersecurity solution which detects malicious files, malware and internal errors. Request a demo or try a free 14-day trial for HTTPCS Integrity and see for yourself its features!
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About
Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
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About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Anyone requiring an open-source neural network framework for neural network processes and image recognition
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Audience
Companies seeking a cybersecurity solution to protect their intellectual and industrial property rights online
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Audience
Component Library solution for DevOps teams
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Audience
Developers interested in a beautiful but advanced programming language
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDarknet
pjreddie.com/darknet/
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Company InformationZiwit
Founded: 2011
France
www.httpcs.com/en/comparision-httpcs/cybervigilance
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Company InformationNumPy
numpy.org
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Company InformationPython
Founded: 1991
www.python.org
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Cybersecurity Features
AI / Machine Learning
Behavioral Analytics
Endpoint Management
Incident Management
IOC Verification
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
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Integrations
Agno
Carrot Seed
DevCycle
Eclipse Theia
Firecrawl
GPT-5.1-Codex-Max
Gecko Security
Gemini 1.5 Flash
Gemini 2.5 Flash
IBM watsonx Code Assistant
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Integrations
Agno
Carrot Seed
DevCycle
Eclipse Theia
Firecrawl
GPT-5.1-Codex-Max
Gecko Security
Gemini 1.5 Flash
Gemini 2.5 Flash
IBM watsonx Code Assistant
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Integrations
Agno
Carrot Seed
DevCycle
Eclipse Theia
Firecrawl
GPT-5.1-Codex-Max
Gecko Security
Gemini 1.5 Flash
Gemini 2.5 Flash
IBM watsonx Code Assistant
|
Integrations
Agno
Carrot Seed
DevCycle
Eclipse Theia
Firecrawl
GPT-5.1-Codex-Max
Gecko Security
Gemini 1.5 Flash
Gemini 2.5 Flash
IBM watsonx Code Assistant
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