stealth - An open source Ruby framework for conversational voice and text chatbots. 🤖

•    Ruby

---

Stealth is a Ruby based framework for creating conversational (voice & chat) bots. It's design is inspired by Ruby on Rails's philosophy of convention over configuration. It has an MVC architecture with the slight caveat that views are aptly named replies. Stealth is extensible. All service integrations are split out into separate Ruby Gems. Things like analytics and natural language processing (NLP) can be added in as gems as well.

chatbot chatbot-framework voice bot bot-framework bots natural-language-processing stealth rails alexa-skill alexa-skills-kit facebook-messenger-bot conversational-ui conversational-bots conversational-agents conversational-ai

spark-nlp - Natural Language Understanding Library for Apache Spark.

•    Jupyter

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John Snow Labs Spark-NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment. This library has been uploaded to the spark-packages repository https://spark-packages.org/package/JohnSnowLabs/spark-nlp .

nlp nlu natural-language-processing natural-language-understanding spark spark-ml pyspark machine-learning named-entity-recognition sentiment-analysis lemmatizer spell-checker tokenizer entity-extraction stemmer part-of-speech-tagger annotation-framework

nlp-architect - NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

•    Python

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NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding. It is intended to be a platform for future research and collaboration. Framework documentation on NLP models, algorithms, and modules, and instructions on how to contribute can be found at our main documentation site.

deeplearning nlp nlu tensorflow dynet keras

Mycroft - an Artificial intelligence for everyone

•    Python

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Mycroft is an Artificial intelligence for everyone. It uses open software to process natural language, determine your intent and take action. It can integrate a host of professional functions – Control scenes to conserve power, grant office access with your voice. It can control all of your media and devices with the sound of your voice. Adjust your thermostat, turn on your lights, water your lawn, play your favorite movie and lot more.

ai nlp voice-assistant raspberry-pi natural-language-processing natural-language voice-as-an-interface artificial-intelligence personal-assistant speech-recognition

nlp-with-ruby - Practical Natural Language Processing done in Ruby.

•    Ruby

---

This curated list comprises awesome resources, libraries, information sources about computational processing of texts in human languages with the Ruby programming language. That field is often referred to as NLP, Computational Linguistics, HLT (Human Language Technology) and can be brought in conjunction with Artificial Intelligence, Machine Learning, Information Retrieval, Text Mining, Knowledge Extraction and other related disciplines. This list comes from our day to day work on Language Models and NLP Tools. Read why this list is awesome. Our FAQ describes the important decisions and useful answers you may be interested in.

machine-learning natural-language-processing nlp sentiment-analysis pos-tag awesome awesome-list list computational-linguistics rubynlp rubyml

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

•    Python

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spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. spaCy comes with pre-trained statistical models and word vectors, and currently supports tokenization for 20+ languages. It features the fastest syntactic parser in the world, convolutional neural network models for tagging, parsing and named entity recognition and easy deep learning integration. It's commercial open-source software, released under the MIT license. 💫 Version 2.0 out now! Check out the new features here.

natural-language-processing data-science big-data machine-learning cython nlp artificial-intelligence ai spacy nlp-library neural-network neural-networks deep-learning

OpenCog - Framework to build Artificial Intelligence Programs

•    C++

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The OpenCog Framework is a platform to build and share artificial intelligence programs. It includes components for procedural and declarative knowledge representation (AtomSpace), task scheduling (CogServer), AI algorithm containers (MindAgents), connectors to instant messaging and virtual world systems, and other components. MindAgents and other add-ons explore a wide variety of AI techniques including evolutionary program learning (MOSES), natural language processing, and others.

artificial-intelligence neural-network nlp

Botpress - The Ultimate Bot Framework

•    Typescript

---

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. Botpress is like, the WordPress of bots; anyone can create and reuse other people's modules. It is the ultimate open-source conversational platform with built-in natural language processing (NLU), easy-to-use graphical interface and dialog manager.

chatbot bot chat botpress bot-framework sdk bot-builder microsoft-bot-framework botkit botkit-bots bots conversation

AIDL-Series - :books: Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc

•    

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:books: Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，机器学习篇 | Tensoflow 篇

datascience machinelearning deeplearning neural-network natural-language-processing artificial-intelligence

snips-nlu - Snips Python library to extract meaning from text

•    Python

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Snips NLU (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information. To find out how to use Snips NLU please refer to our documentation, it will provide you with a step-by-step guide on how to use and setup our library.

nlp nlu machine-learning data-science text-classification intent-classification ner named-entity-recognition slot-filling intent-parser information-extraction snips natural-language-processing

Repo-2017 - Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

•    Python

---

Welcome to my GitHub repo. I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence models I developed.

anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec nlp natural-language-processing sentiment-analysis opencv segnet resnet-50 variational-autoencoder t-sne svm-classifier latent-dirichlet-allocation

Rasa - Create chatbots and voice assistants

•    Python

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Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on Facebook, Slack, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram etc. Rasa's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa lets you do that in a scalable way.

nlp machine-learning machine-learning-library bot bots botkit conversational-bots conversational-agents conversational-ai spacy mitie chatbot chatbots chatbots-framework bot-framework natural-language-processing

opencog - A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

•    Scheme

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OpenCog is a framework for developing AI systems, especially appropriate for integrative multi-algorithm systems, and artificial general intelligence systems. Though much work remains to be done, it currently contains a functional core framework, and a number of cognitive agents at varying levels of completion, some already displaying interesting and useful functionalities alone and in combination. With the exception of MOSES and the CogServer, all of the above are in active development, are half-baked, poorly documented, mis-designed, subject to experimentation, and generally in need of love an attention. This is where experimentation and integration are taking place, and, like any laboratory, things are a bit fluid and chaotic.

agi natural-language natural-language-inference natural-language-understanding robotics robot-controller learning learning-algorithm unsupervised-learning unsupervised-machine-learning unsupervised-learning-algorithms

delta - DELTA is a deep learning based natural language and speech processing platform.

•    Python

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DELTA is a deep learning based end-to-end natural language and speech processing platform. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. For details of DELTA, please refer to this paper.

nlp deep-learning tensorflow speech sequence-to-sequence seq2seq speech-recognition text-classification speaker-verification nlu text-generation emotion-recognition tensorflow-serving tensorflow-lite inference asr serving front-end

NeuronBlocks - NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

•    Python

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NeuronBlocks is a NLP deep learning modeling toolkit that helps engineers/researchers to build end-to-end pipelines for neural network model training for NLP tasks. The main goal of this toolkit is to minimize developing cost for NLP deep neural network model building, including both training and inference stages. NeuronBlocks consists of two major components: Block Zoo and Model Zoo.

question-answering deep-learning pytorch natural-language-processing text-classification artificial-intelligence dnn qna text-matching knowledge-distillation model-compression

stanfordnlp - Official Stanford NLP Python Library for Many Human Languages

•    Python

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The Stanford NLP Group's official Python NLP library. It contains packages for running our latest fully neural pipeline from the CoNLL 2018 Shared Task and for accessing the Java Stanford CoreNLP server. For detailed information please visit our official website. The PyTorch implementation of the neural pipeline in this repository is due to Peng Qi and Yuhao Zhang, with help from Tim Dozat and Jason Bolton.

nlp natural-language-processing machine-learning deep-learning artificial-intelligence pytorch universal-dependencies

thinc - 🔮 spaCy's Machine Learning library for NLP in Python

•    Assembly

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Thinc is the machine learning library powering spaCy. It features a battle-tested linear model designed for large sparse learning problems, and a flexible neural network model under development for spaCy v2.0. Thinc is a practical toolkit for implementing models that follow the "Embed, encode, attend, predict" architecture. It's designed to be easy to install, efficient for CPU usage and optimised for NLP and deep learning with text – in particular, hierarchically structured input and variable-length sequences.

machine-learning deep-learning artificial-intelligence ai nlp natural-language-processing spacy machine-learning-library

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research

•    Python

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This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found here. For this course, I use python3.6 and TensorFlow 1.4.1. For setup instruction and the list of dependencies, please see the setup folder of this repository.

tensorflow deep-learning tutorial nlp natural-language-processing chatbot machine-learning stanford course-materials

pynlpl - PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing

•    Python

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PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotatation). The library is a divided into several packages and modules. It works on Python 2.7, as well as Python 3.

nlp computational-linguistics linguistics library folia machine-learning language-modelling search-algorithms evaluation-metrics text-processing nlp-library natural-language-processing

OpenNLP - Machine learning based toolkit for the processing of natural language text

•    Java

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The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.

nlp natural-language-processing machine-learning parts-of-speech categorization auto-tagging sentence-detector