🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Models and examples built with TensorFlow

A toolkit for developing and comparing reinforcement learning algorithms.

Graph Neural Network Library for PyTorch

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.

Code samples for my book "Neural Networks and Deep Learning"

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

TensorFlow Neural Machine Translation Tutorial

A tool for extracting plain text from Wikipedia dumps

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Deep learning with dynamic computation graphs in TensorFlow

Assignments for CS294-112.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

High-accuracy NLP parser with models for 11 languages.

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

Tensorflow implementation of attention mechanism for text classification tasks.

A scikit-learn compatible library for graph kernels

Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Officially supported AllenNLP models

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface