Showing 218 open source projects for "language processing"

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  • 1
    PyText

    PyText

    A natural language modeling framework based on PyTorch

    PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly...
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  • 2
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    ...At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc.
    Downloads: 6 This Week
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  • 3
    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent.
    Downloads: 0 This Week
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  • 4
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. ...
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  • 5
    PPface

    PPface

    PPface is vector processor emulator / simulator

    PPface is vector processor emulator / simulator (SIMD array processor with 1-bit processing elements). VEPRAN language used to design parallel algorithms and operate data slices. The system allows to visualize algorithm work by viewing vector memory and registers, it supports debugging and animated program execution. To run this app on 64-bit system please install Windows Virtual PC and Windows XP Mode.
    Downloads: 0 This Week
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  • 6
    Go-Guerrilla SMTP Daemon

    Go-Guerrilla SMTP Daemon

    Mini SMTP server written in golang

    ...It's an SMTP server written in Go, for the purpose of receiving large volumes of email. It started as a project for GuerrillaMail.com which processes millions of emails every day, and needed a daemon with less bloat & written in a more memory-safe language that can take advantage of modern multi-core architectures. The purpose of this daemon is to grab the email, save it, and disconnect as quickly as possible, essentially performing the services of a Mail Transfer Agent (MTA) without the sending functionality. The software also includes a modular backend implementation, which can extend the email processing functionality to whatever needs you may require.
    Downloads: 0 This Week
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  • 7
    Network Function Framework for Go

    Network Function Framework for Go

    NFF-Go -Network Function Framework for GO (former YANFF)

    NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath....
    Downloads: 0 This Week
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  • 8
    KonsolScript: Automate and Orchestrate

    KonsolScript: Automate and Orchestrate

    Embeddable scripting runtime for live behavior, AI, and automation.

    ...Key capabilities: - Embed into any C++ app with a single header - Hot-reload scripts at runtime without restarting - AI-safe: validate or reject scripts before execution - Orchestrate LLMs (OpenAI, Claude, Gemini, Ollama) in .ks scripts - Built-in: String, File, JSON, CSV, Math, Regex, and more - Plugins: HTTP, SQLite, MySQL, TCP, Redis, Crypto, JWT, Zip - Push behavior updates to remote instances over TCP Use cases: - Scriptable game engines (hot-patch rules mid-session) - AI event bridges (natural language to live app behavior) - Automation pipelines (CI, log triage, file processing) - LLM orchestration workflows Docs: https://konsolscript.sf.net/kookbook.html
    Downloads: 12 This Week
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  • 9
    Twint

    Twint

    An advanced Twitter scraping & OSINT tool written in Python

    Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data.
    Downloads: 1 This Week
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  • 10
    Django Celery

    Django Celery

    Old Celery integration project for Django

    Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a...
    Downloads: 4 This Week
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  • 11
    ModularAdmin

    ModularAdmin

    Free Dashboard Theme Built On Bootstrap 4 | HTML Version

    ModularAdmin is an open source dashboard theme built in a modular way. That makes it easy to scale, modify and maintain. We use SASS as CSS preprocessor language. Main variables are defined in the src/_variables.scss folder. For making life easier we broke down styles into components, and on build we're just merging all .scss files together and processing it to the dist/css/app.css file. There are also different theme variations located in src/_themes/ folder, where you can change the main variables to get different themes. ...
    Downloads: 0 This Week
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  • 12
    Duckling (Old)

    Duckling (Old)

    Clojure library that parses text into structured data

    Duckling (the “old” archived version) is a natural language processing library (in Clojure) for parsing text to structured data — specifically, recognizing quantities such as dates, times, durations, measurements, currencies, etc., from free-form text. To use Duckling in your project, you just need two functions: load! to load the default configuration, and parse to parse a string. Duckling is a Clojure library that parses text into structured data.
    Downloads: 0 This Week
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  • 13
    codelyzer

    codelyzer

    Static analysis for Angular projects

    ...You can run the static code analyzer over web apps, NativeScript, Ionic, etc. Note that by default all components are aligned with the style guide so you won't see any errors in the console. Codelyzer supports any template and style language by custom hooks. If you're using Sass for instance, you can allow codelyzer to analyze your styles by creating a file .codelyzer.js in the root of your project (where the node_modules directory is). In the configuration file can implement custom pre-processing and template resolution logic. Lint rules encode logic for syntactic & semantic checks of TypeScript, HTML, CSS and Angular expressions source code.
    Downloads: 0 This Week
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  • 14
    Win32Forth is ANS compatible, Forth language application development system with many tools; Interactive console, integrated extensible debugger, a GUI file editor, hypertext rendering, hyperlinked source files. VIEW <word-name> to explore the many files
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    Downloads: 59 This Week
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  • 15
    Pipelines

    Pipelines

    An experimental programming language for data flow

    Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.
    Downloads: 2 This Week
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  • 16
    Common Litt

    Common Litt

    Simple java script library for auto literation, input tool.

    This project focuses of auto conversion in between language alphabets. Using this 'lit.js' library currently you can done conversion in between English - Tamil - Sinhala scrpits vise-versa. This is use full when you need to know how write something in an other given language. This is still at development stage but works purfectly and easy to customize as well. Live demo available at: http://commonlitt.42web.io/ For UI creations I had used Bootstrap and Jquery. For easy array...
    Downloads: 0 This Week
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  • 17

    Faust : signal processing language

    Faust is a programming language for realtime audio signal processing

    [UPDATE] The project has been moved to GitHub (https://github.com/grame-cncm/faust). Do not use this repository anymore ! FAUST (Functional Audio Stream) is a functional programming language specifically designed for real-time signal processing and synthesis. FAUST targets high-performance signal processing applications and audio plug-ins for a variety of platforms and standards. The Faust compiler translates DSP specifications into very efficient C++ code. Thanks to the notion of architecture, FAUST programs can be easily deployed on a large variety of audio platforms and plugin formats (jack, alsa, ladspa, maxmsp, puredata, csound, supercollider, pure, vst, coreaudio) without any change to the FAUST code.
    Downloads: 0 This Week
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  • 18
    iText®, a JAVA PDF library

    iText®, a JAVA PDF library

    PDF Library for Developers

    iText is an open-source PDF library available for Java and .NET (C#). iText allows you to effortlessly generate and manipulate standards-compliant PDF documents with a powerful and feature-rich SDK. With iText, you can create archivable and accessible PDFs, split and merge documents, fill and flatten forms, digitally sign documents, and more. iText add-ons enable additional functionality, such as PDF creation from HTML templates, secure redaction, OCR, and much more. The latest...
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    Downloads: 135 This Week
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  • 19
    cnn-text-classification-tf

    cnn-text-classification-tf

    Convolutional Neural Network for Text Classification in Tensorflow

    The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. ...
    Downloads: 0 This Week
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  • 20
    pyhanlp

    pyhanlp

    Chinese participle

    pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. ...
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  • 21
    Keras resources

    Keras resources

    Directory of tutorials and open-source code repositories

    ...It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. It also includes links to external projects built with Keras, demonstrating real-world applications of deep learning techniques. The structure is designed for easy navigation, allowing users to quickly find relevant materials based on their skill level or area of interest. ...
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  • 22
    Deeplearning-papernotes

    Deeplearning-papernotes

    Summaries and notes on Deep Learning research papers

    Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ...
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  • 23

    basload

    c64 basic loader generator for machine language programs

    Basload is a crossdevelopment commandline tool for the Commodore 64 that takes takes a pure machine language program file, transforms it into BASIC data statements + checksum and adds a small BASIC install routine. Main purpose of this is to share short ML programs for hardware testing/debugging in a typable form over the internet in cases where the recipient cannot transfer those to his C64 in binary state and thus has to type them in.
    Downloads: 0 This Week
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  • 24

    WrapImaJ

    Multi-platform API for Image Processing systems in Life Sciences

    WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies.
    Downloads: 0 This Week
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  • 25
    node2vec

    node2vec

    Learn continuous vector embeddings for nodes in a graph using biased R

    ...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. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. ...
    Downloads: 5 This Week
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