Natural-language-processing Libraries

57 Components & Libraries

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Natural-language-processing Libraries

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow These models can be applied on: Here are a few examples: In Natural Language Processing: In Computer Vision: In Audio: In Multimoda…

Learn how to responsibly develop, deploy and maintain production machine learning applications.

Learn the foundations of machine learning through intuitive explanations, clean code and visualizations. Learn how to combine machine learning with software engineering to build production-grade appl…

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

Input encrypted text, get the decrypted text back. "What type of encryption?" That's the point. You don't know, you just know it's possibly encrypted. Ciphey will figure it out for you. Ciphey can so…

An open-source NLP research library, built on PyTorch.

An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. When you're ready to start your project, we…

Data-centric declarative deep learning framework

The configuration declares the input and output features, with their respective data types. Users can also specify additional parameters to preprocess, encode, and decode features, load from pre-trai…

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern is a web mining module for Python. It has tools for: It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples. The source code is licensed under BSD. …

Open source annotation tool for machine learning practitioners.

doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data f…

A collection of machine learning examples and tutorials.

A collection of machine learning examples and tutorials. Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were d…

:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.

This command installs everything needed for basic Pipelines that use an Elasticsearch DocumentStore. To use more advanced features, like certain DocumentStores, FileConverters, OCR, or Ray, install f…

Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft is a hackable open source voice assistant. NOTE: The default branch for this repository is 'dev', which should be considered a work-in-progress. If you want to clone a more stable version, sw…

Collection of useful data science topics along with articles, videos, and code

Collection of useful data science topics along with articles and videos. Subscribe to: To download the code in this repo, you can simply use git clone Special thanks to these supporters for supportin…

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Builds an encoder-decoder model, with maximum likelihood learning: The same model, but with adversarial learning: The same model, but with RL policy gradient learning: Texar requires: To use cutting-…

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. There are lots of reasons to use TextAttack: You should be running Python 3.6+ to use this pack…

Library to scrape and clean web pages to create massive datasets.

A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets. Using this library, you should be able to create datasets larger than th…

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

This repository contains all the code, notebooks and examples used in this book. We will also be adding bonus content here from time to time. So keep watching this space! Master the essential skills …

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

There are three lectures and one final project in this class. Course overview is below. Lecture 1 Lecture 2 Lecture 3

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Popular use cases for this library include: If you work directly from this Git repo, be sure to install the dependencies as well: Then to use the library with a simple use case: We welcome people get…

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" is …

Neural machine translation and sequence learning using TensorFlow

OpenNMT-tf is a general purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support: Models are desc…

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

Why Rubrix? Interactive weak supervision. Building a news classifier with user search queries: Getting started with Rubrix is as easy as: Then simply run: After a few iterations of data annotation, w…

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

Codes in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep L…

Open Machine Learning course

This course aims to introduce students to modern state of Machine Learning and Artificial Intelligence. It is designed to take one full year - approximately 2 * 15 lectures and seminars. All lecture …

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have with each other all the time. Nowadays personalization is something that…

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

All the Observers can store their state in databases (Sqlite, Postgres, MySQL, etc.), making Obsei suitable for scheduled jobs or serverless applications. Install the following (if not present alread…

Open Machine Learning course at MIPT

This course aims to introduce students to modern state of Machine Learning andArtificial Intelligence. It is designed to take one year (two terms at MIPT) -approximately 2 * 15 lectures and seminars.…

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

Texar-PyTorch integrates many of the best features of TensorFlow into PyTorch, delivering highly usable and customizable modules superior to PyTorch native ones. Texar-PyTorch requires: To use cuttin…

:books: [.md & .ipynb] 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，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

在本系列中，你可能会接触到数据挖掘、机器学习、深度学习、自然语言处理、人工智能等很多的概念。值得说明的是，鉴于很多的算法实现是以文字结合代码介绍为最佳，因此工具实践篇中的大部分内容是以 Juypter Notebook 的形式放在该仓库中，并且在 Colab 中进行浏览、编辑与实验。 1956 年，几个计算机科学家相聚在达特茅斯会议，提出了“人工智能”的概念，梦想着用当时刚刚出现的计算机来构造…

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