Chalk alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view Chalk alternatives based on common mentions on social networks and blogs.
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MLLib
Apache Spark - A unified analytics engine for large-scale data processing -
PredictionIO
PredictionIO, a machine learning server for developers and ML engineers. -
Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. -
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Spark Notebook
Interactive and Reactive Data Science using Scala and Spark. -
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Tensorflow_scala
TensorFlow API for the Scala Programming Language -
Squants
The Scala API for Quantities, Units of Measure and Dimensional Analysis -
FACTORIE
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. -
ND4S
ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J. -
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OpenMOLE
Workflow engine for exploration of simulation models using high throughput computing -
Clustering4Ever
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering. -
rscala
The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. -
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Axle
Axle Domain Specific Language for Scientific Cloud Computing and Visualization -
Synapses
A group of neural-network libraries for functional and mainstream languages
Less time debugging, more time building
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Chalk
NOTE: This project is currently dormant with no current prospect for further development. Suggestion: check out OpenNLP or StanfordNLP for the JVM or spaCy for Python. (If anyone would like to do something like spaCy for Scala, that would be fantastic.)
Introduction
Chalk is a library for natural language processing (NLP).
What's inside
The latest stable version is 1.3.2. Changes from the previous release include:
- Initial implementation of functional pipelines for NLP applications, and actor-based pipelines based on those components.
See the CHANGELOG for changes in previous versions.
Using Chalk
In SBT:
libraryDependencies += "org.scalanlp" %% "chalk" % "1.3.0"
In Maven:
<dependency>
<groupId>org.scalanlp</groupId>
<artifactId>chalk</artifactId>
<version>1.3.0</version>
</dependency>
Requirements
- Version 1.6 of the Java 2 SDK (http://java.sun.com)
Configuring your environment variables
Set JAVA_HOME to match the top level directory containing the Java installation you want to use. If you want to be able to use the chalk command line executable, set CHALK_DIR to where you put Chalk, and then add the directory CHALK_DIR/bin to your path.
Building the system from source
Chalk uses SBT (Simple Build Tool) with a standard directory structure. To build Chalk, type (in the CHALK_DIR directory):
$ ./build update compile
This will compile the source files and put them in ./target/classes. If this is your first time running it, you will see messages about Scala being downloaded -- this is fine and expected. Once that is over, the Chalk code will be compiled.
To try out other build targets, do:
$ ./build
To make sure all the tests pass, do:
$ ./build test
Documentation for SBT is at http://www.scala-sbt.org/
Questions or suggestions?
Email Jason Baldridge: [email protected]
Or, create an issue: https://github.com/scalanlp/chalk/issues