Spark NLP

Spark NLP

John Snow Labs
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About

We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences.

About

Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.

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

Developers and companies interested in a solution to create and share micro apps

Audience

Healthcare providers seeking a library to manage their machine learning models and pipelines

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

GitHub Spark
United States
github.com

Company Information

John Snow Labs
United States
sparknlp.org

Alternatives

WebSparks

WebSparks

WebSparks.AI

Alternatives

MLlib

MLlib

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Categories

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks
ELMO
Facebook
Flair
GitHub
Java
Maven
OpenAI Whisper
Python
R
RoBERTa
Scala
T5
TensorFlow
spaCy

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks
ELMO
Facebook
Flair
GitHub
Java
Maven
OpenAI Whisper
Python
R
RoBERTa
Scala
T5
TensorFlow
spaCy
Claim GitHub Spark and update features and information
Claim GitHub Spark and update features and information
Claim Spark NLP and update features and information
Claim Spark NLP and update features and information