Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

BERT-related papers

使用Bert完成实体之间关系抽取

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Pytorch implementation of BERT4Rec and Netflix VAE.

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

A Dutch RoBERTa-based language model

Code of the CVPR 2021 Oral paper: A Recurrent Vision-and-Language BERT for Navigation

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).

使用bert进行关系三元组抽取。

Implementation of BERT in R

A pytorch implementation of BERT-based relation classification

bert pytorch模型微调用于的多标签文本分类

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Implementation of paper Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.

pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch implementation of other Hierarchical Methods (Mean Pooling and Max Pooling) and Truncation Methods (Head Only and Tail Only) presented in this paper https://arxiv.org/abs/1905.05583

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This repository contains a custom implementation of the BERT model, fine-tuned for specific tasks, along with an implementation of Low Rank Approximation (LoRA). The models are optimized for high performance using NVIDIA's TensorRT.

RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER

This repository contains the bill of materials, design files, and firmware for building a giant 3D printed robot arm.

Pytorch re-implementation of R-BERT model

Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa

RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"

A Bert-CNN-LSTM model for punctuation restoration

This is the official implementation of RoboBERT, which is a novel end-to-end mutiple-modality robotic operations training framework.