LASER multilingual sentence embeddings as a pip package
$ git clone https://github.com/yannvgn/laserembeddings.git▲ +409 ★ this week
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
Learn how to use PyTorch to solve some common NLP problems with deep learning.
a sklearn wrapper for Google's BERT model
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
Data from GitHub · snapshot Nov 13, 2026