Language-processing Libraries

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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 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. Thes…

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…

Low-code framework for building custom LLMs, neural networks, and other AI models

Key features: Install from PyPi. Be aware that Ludwig requires Python 3.8+. Or install with all optional dependencies: Let's fine-tune a pretrained LLaMA-2-7b large language model to follow instructi…

:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

This command installs everything needed for basic Pipelines that use an in-memory DocumentStore. If you want to install only the dependencies needed for model inference on your local hardware (not re…

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. You can create labeled data for …

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…

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…

Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

The Resume Matcher takes your resume and job descriptions as input, parses them using Python, and mimics the functionalities of an ATS, providing you with insights and suggestions to make your resume…

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…

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-…

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

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…

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 Machine Learning course

First semester of girafe-ai Machine Learning course Special thanks to:

✨ Argilla: Open-source platform to build better language models through human feedback

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…

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Does one of these scenarios sounds familiar to you? If so, you are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate …

My first Python repo with codes in Machine Learning, NLP and Deep 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…

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Multi-Agent Language Game Environments for LLMs ChatArena is a library that provides multi-agent language game environments and facilitates research about autonomous LLM agents and their social inter…

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

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.…

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