Search Results for "learning language"
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Showing 8 open source projects for "learning language"
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Spark NLP
State of the Art Natural Language Processing
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. -
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Docspell
Assist in organizing your piles of documents
Docspell is a personal document organizer. Or sometimes called a "Document Management System" (DMS). You'll need a scanner to convert your papers into files. Docspell can then assist in organizing the resulting mess. It can unify your files from scanners, emails, and other sources. It is targeted for home use, i.e. families, households, and also for smaller groups/companies. You can associate tags, set correspondent,s and lots of other predefined and custom metadata. If your documents are... -
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Dotty
The scala 3 compiler, also known as Dotty
...For example, the feature of implicits has been used to model contextual abstraction, to express type-level computation, model type-classes, perform implicit coercions, encode extension methods, and many more. Learning from these use cases, Scala 3 takes a slightly different approach and focuses on intent rather than mechanism. -
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Byzer-lang
A low-code open-source programming language for data pipeline
Byzer (former MLSQL) is a low-code, open-sourced, and distributed programming language for data pipeline, analytics, and AI in a cloud-native way. Design protocol: Everything is a table. Byzer is a SQL-like language, to simplify data pipeline, analytics, and AI, combined with built-in algorithms and extensions. We believe that everything is a table, a simple and powerful SQL-like language can significantly reduce human efforts of data development without switching different tools. -
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ArnoldC
Arnold Schwarzenegger based programming language
ArnoldC is a programming language built as a joke language, where the entire syntax is based on quotes from Arnold Schwarzenegger movies. Instead of conventional keywords and operators, it uses memorable movie lines to represent programming constructs like conditionals, loops, and functions. For example, “IT’S SHOWTIME” starts the main method, “TALK TO THE HAND” represents output, and “I’LL BE BACK” denotes a return statement. While humorous in nature, the language is fully functional and... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. ... -
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IntelliJ plugin for Haskell
IntelliJ plugin for Haskell
...This is needed for syntax highlighting, all kinds of navigation, and so on. Further Haskell language support is provided with the help of external tools. Show error action to view formatted messages. Useful in case message consists of multiple lines (Ctrl-F10, Meta-F10 on Mac OSX); Intention actions to add language extension (depends on compiler error), add top-level type signature (depends on compiler warning). Intention action to select which module to import if the identifier is not in scope. -
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Scala Exercises
The easy way to learn Scala
Scala Exercises is an open source platform for learning Scala through interactive exercises and tutorials. It provides a hands-on learning environment where users can read theory and immediately code (in the browser) and see results. The content covers Scala language features, functional programming libraries (cats, scalaz, etc.), and fp-style patterns. It is modular, so additional modules or “sections” can be added for new topics or libraries.
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