Embedding graphs in symmetric spaces

GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

A language detection software

Hyperbolic Graph Convolutional Networks in PyTorch.

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Graph Neural Network Library for PyTorch

Riemannian Adaptive Optimization Methods with pytorch optim

Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"

A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

Assorted tools and utility functions, mainly for doing NLP with Python

Tools for state of the art Knowledge Base Completion.

Attempting to make the Deep Learning Book easier to understand.

PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

Hyperbolic Neural Networks, pytorch

Riemannian Adaptive Optimization Methods with pytorch optim

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

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.

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

TextRank implementation for Python 3.