Language 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…

📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file. Feel free to take a look. You might learn new th…

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…

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…

Each Python script in this repository has the following structure: So normally you might want to do the following: You may check your Python version by running: Install all dependencies that are requ…

ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent…

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…

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks a…

Contributions are very much welcome!

This library is the core component of Qiskit, which contains the building blocks for creating and working with quantum circuits, quantum operators, and primitive functions (sampler and estimator). It…

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…

This framework allows for building, transforming, and visualizing quantum circuits. It also contains a compiler that supports different quantum computers and a common interface for running programs …

Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct translation between them installed. For example, if you have…

An open collection of methodologies to help with successful training of large language models and multi-modal models. This is a technical material suitable for LLM/VLM training engineers and operator…

One of the following database:

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…

In addition to cross-language serialization, Fury also features at: Different scenarios have different serialization requirements. Fury designed and implemented multiple binary protocols for those re…

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 …