Nat Libraries

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 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…

Jina provides a smooth Pythonic experience for serving ML models transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Jina makes…

Zulip is built by a distributed community of developers from all around the world, with 74+ people who have each contributed 100+ commits. With over 1000 contributors merging over 500 commits a month…

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…

Open-source company is added to the list if: Things change really fast in the startup world, so this list can neither be fully complete, nor 100% up to date.

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…

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…

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…

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. …

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. 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 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…

Setup instructions: Please report feature requests and problems to: This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as publis…

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…

Our core developers have been building time-series data platforms for years. Based on our best-practices, GreptimeDB is born to give you: Seamless scalability from a standalone binary at edge to a ro…

An awesome curated list of open source crafted web & mobile applications - Learn, Fork, Contribute & Most Importantly Enjoy! You want to develop an app, write tests for a feature or implement…

Once you're up and running, read these two (short) sections of the documentation to get a feel for what image-match is capable of:

Once you're up and running, read these two (short) sections of the documentation to get a feel for what image-match is capable of:

Once you're up and running, read these two (short) sections of the documentation to get a feel for what image-match is capable of:

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions. It provides support for the following machine learning frameworks and packages: License is MI…

Managed deployment by the Langfuse team, generous free-tier (hobby plan), no credit card required. You may want to use another integration to get started quickly or implement a use case that we do no…

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…

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-…

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

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 …

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…

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…