Related Products
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About
The Fink project wants to bring the full world of Unix open source software to Darwin and Mac OS X. We modify Unix software so that it compiles and runs on Mac OS X ("port" it) and make it available for download as a coherent distribution. Fink uses Debian tools like dpkg and apt-get to provide powerful binary package management. You can choose whether you want to download precompiled binary packages or build everything from source. The project offers precompiled binary packages as well as a fully automated build-from-source system. Mac OS X includes only a basic set of command-line tools. Fink brings you enhancements for these tools as well as a selection of graphical applications developed for Linux and other Unix variants. With Fink the compile process is fully automated; you'll never have to worry about Makefiles or configure scripts and their parameters again. The dependency system automatically takes care that all required libraries are present.
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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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About
The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.
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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
Professional users in need of a solution to modify Unix software so that it compiles and runs on Mac
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings
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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
Free
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 InformationFink
www.finkproject.org
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Company InformationPython
Founded: 1991
www.python.org
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Company InformationTensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder
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Categories |
Categories |
Categories |
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Integrations
AI21 Studio
Atom
Claude Sonnet 4.5
Deepchecks
EOD Historical Data
Eclipse Theia
Fine
Gemini 3 Deep Think
LETSCMS MLM
NLP Cloud
|
Integrations
AI21 Studio
Atom
Claude Sonnet 4.5
Deepchecks
EOD Historical Data
Eclipse Theia
Fine
Gemini 3 Deep Think
LETSCMS MLM
NLP Cloud
|
Integrations
AI21 Studio
Atom
Claude Sonnet 4.5
Deepchecks
EOD Historical Data
Eclipse Theia
Fine
Gemini 3 Deep Think
LETSCMS MLM
NLP Cloud
|
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