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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
Use our generator to create a test script in JavaScript or CoffeeScript. Write script to set the request parameters and validate the response. Ping-API will run your test script on global servers in U.S., Japan, Germany and Singapore. Schedule testing to inspect your APIs. We will send the failure test information to you with email, Slack and HipChat. Ping-API allows you to write test script in JavaScript and CoffeeScript to test your APIs. Write script to set request url parameters, headers and body. And write script to validate response headers and body. Script generator. Don't worry about programming. Just set parameter of your API, the generator will give you test script. It is easy! The use case for web developers. Give me a notification when my web is down or the response is unexpected. Ping-API will schedule your tests in every minutes or hours. If the test is failure, we will send the notification to you.
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About
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
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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
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Component Library solution for DevOps teams
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Audience
Development teams or inviduals who want an API testing solution
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Audience
Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
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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
Free
Free Version
Free Trial
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Pricing
$5 per month
Free Version
Free Trial
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Pricing
No information available.
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 InformationNumPy
numpy.org
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Company InformationPing-API
ping-api.com
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Company InformationPyTorch
Founded: 2016
pytorch.org
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Categories |
Categories |
Categories |
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Integrations
Amazon EC2 Trn2 Instances
Cleanlab
Comet LLM
Daft
DeepSpeed
Gensim
Humtap
Keepsake
LTXV
Label Studio
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Integrations
Amazon EC2 Trn2 Instances
Cleanlab
Comet LLM
Daft
DeepSpeed
Gensim
Humtap
Keepsake
LTXV
Label Studio
|
Integrations
Amazon EC2 Trn2 Instances
Cleanlab
Comet LLM
Daft
DeepSpeed
Gensim
Humtap
Keepsake
LTXV
Label Studio
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