+

Related Products

  • Google Cloud Run
    286 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • ACE (Adenasoft Crypto Exchange Solution)
    6 Ratings
    Visit Website
  • ShareMyToolbox
    41 Ratings
    Visit Website
  • Secure Eraser
    11 Ratings
    Visit Website
  • CLEAR
    1 Rating
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website

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.

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 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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Component Library solution for DevOps teams

Audience

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

Audience

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

NumPy
numpy.org

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Alternatives

Alternatives

Alternatives

word2vec

word2vec

Google
h5py

h5py

HDF5
Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services
Exa

Exa

Exa.ai

Categories

Categories

Categories

Integrations

AI Squared
Amazon SageMaker Studio Lab
Amazon Web Services (AWS)
Collimator
Giskard
Huawei Cloud ModelArts
Intel Tiber AI Cloud
Intel Tiber AI Studio
Keepsake
LiteRT
Microsoft Azure
NVIDIA Triton Inference Server
NodeShift
Segments.ai
Sesterce
Simplismart
Superwise
Yandex Data Proc
Zepl
h5py

Integrations

AI Squared
Amazon SageMaker Studio Lab
Amazon Web Services (AWS)
Collimator
Giskard
Huawei Cloud ModelArts
Intel Tiber AI Cloud
Intel Tiber AI Studio
Keepsake
LiteRT
Microsoft Azure
NVIDIA Triton Inference Server
NodeShift
Segments.ai
Sesterce
Simplismart
Superwise
Yandex Data Proc
Zepl
h5py

Integrations

AI Squared
Amazon SageMaker Studio Lab
Amazon Web Services (AWS)
Collimator
Giskard
Huawei Cloud ModelArts
Intel Tiber AI Cloud
Intel Tiber AI Studio
Keepsake
LiteRT
Microsoft Azure
NVIDIA Triton Inference Server
NodeShift
Segments.ai
Sesterce
Simplismart
Superwise
Yandex Data Proc
Zepl
h5py
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information
Claim Universal Sentence Encoder and update features and information
Claim Universal Sentence Encoder and update features and information