embeddings topic

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

MilaNLProc

Solves basic Russian NLP tasks, API for lower level Natasha projects

natasha

Text2Text: Crosslingual NLP/G toolkit

artitw

100+ Chinese Word Vectors 上百种预训练中文词向量

Embedding

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

towhee-io

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

alexklibisz

A python library for self-supervised learning on images.

lightly-ai

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

lilianweng

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

vithursant

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

bheinzerling