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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorFlow code and pre-trained models for BERT

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

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.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Statistical data visualization in Python

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

Library for building powerful interactive command line applications in Python

A PyTorch implementation of the Transformer model in "Attention is All You Need".

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Pytorch implementation of convolutional neural network visualization techniques

Automated Machine Learning with scikit-learn

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Uniform Manifold Approximation and Projection

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

📊 A simple command-line utility for querying and monitoring GPU status

Computing with Python functions.

Fixes mojibake and other glitches in Unicode text, after the fact.

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

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

Sequential model-based optimization with a `scipy.optimize` interface

An intuitive library to add plotting functionality to scikit-learn objects.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Command line utilities for data analysis

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Train AI models efficiently on medical images using any framework

A Python toolbox for gaining geometric insights into high-dimensional data

🤖 A Python library for learning and evaluating knowledge graph embeddings

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.