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About
Ansys Lumerical Multiphysics is a photonics component simulation software that enables the seamless design of photonic components by capturing multiphysics effects, including optical, thermal, electrical, and quantum well interactions, within a unified design environment. Tailored for design engineering workflows, this intuitive product design software offers a fast user experience, facilitating rapid design exploration and providing detailed insights into real-world product performance. It combines live physics and accurate high-fidelity simulation into an easy-to-use interface, supporting faster time-to-market. Key features include a finite element design environment, integrated multiphysics workflows, comprehensive material models, and capabilities for automation and optimization. The suite of solvers and seamless workflows in Lumerical Multiphysics accurately capture the interplay of physical effects in modeling both passive and active photonic components.
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About
The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.
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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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Audience
Photonic component manufacturers wanting a solution to enhance their design processes
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Audience
Anyone in need of a deep learning software
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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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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 |
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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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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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Company InformationAnsys
Founded: 1970
United States
www.ansys.com/products/optics/multiphysics
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Company InformationVLFeat
United States
www.vlfeat.org/matconvnet/
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Company InformationPython
Founded: 1991
www.python.org
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Categories |
Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
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Integrations
AMD Developer Cloud
Chartboard
CoTherm
Devin
FacePlugin
GPT-5.1-Codex
Gemini Advanced
Grok 4.1 Thinking
GroupBy
Helix Editor
|
Integrations
AMD Developer Cloud
Chartboard
CoTherm
Devin
FacePlugin
GPT-5.1-Codex
Gemini Advanced
Grok 4.1 Thinking
GroupBy
Helix Editor
|
Integrations
AMD Developer Cloud
Chartboard
CoTherm
Devin
FacePlugin
GPT-5.1-Codex
Gemini Advanced
Grok 4.1 Thinking
GroupBy
Helix Editor
|
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