h5py

h5py

HDF5
+
+

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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.

About

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Audience

IT teams in need of a Component Library solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

HDF5
www.h5py.org

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

AWS Elastic Fabric Adapter (EFA)
Amazon EC2 G5 Instances
Amazon SageMaker Studio Lab
ApertureDB
Cleanlab
FakeYou
GPUonCLOUD
HPC-AI
Horovod
HunyuanWorld
IBM Distributed AI APIs
Keepsake
Ray
Skyportal
TensorWave
Unify AI
Zilliz Cloud
io.net
trail
zymtrace

Integrations

AWS Elastic Fabric Adapter (EFA)
Amazon EC2 G5 Instances
Amazon SageMaker Studio Lab
ApertureDB
Cleanlab
FakeYou
GPUonCLOUD
HPC-AI
Horovod
HunyuanWorld
IBM Distributed AI APIs
Keepsake
Ray
Skyportal
TensorWave
Unify AI
Zilliz Cloud
io.net
trail
zymtrace
Claim PyTorch and update features and information
Claim PyTorch and update features and information
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Claim h5py and update features and information