All Algorithms implemented in Python

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A Deep Learning based project for colorizing and restoring old images (and video!)

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Manipulate audio with a simple and easy high level interface

A collection of libraries to optimise AI model performances

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Visually simulate Git operations in your own repos with a single terminal command.

Create beautiful, publication-quality books and documents from computational content.

Minimal keyword extraction with BERT

🎵 🌈 Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

An open-source framework for machine learning and other computations on decentralized data.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Single-document unsupervised keyword extraction

Efficient Retrieval Augmentation and Generation Framework

🧹 Python package for text cleaning

Pytorch implementation of MixNMatch

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

Doubt your data, find bad labels.

Simple multilingual lemmatizer for Python, especially useful for speed and efficiency