Popular GitHub Repositories for Bert Embeddings

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

ColBERT humor dataset for the task of humor detection, containing 200,000 jokes/news

Electra pre-trained model using Vietnamese corpus

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Fast and memory-efficient library for WordPiece tokenization as it is used by BERT.

Hierarchical-Attention-Network

Automated Essay Scoring using BERT

This is the code for loading the SenseBERT model, described in our paper from ACL 2020.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Code and CoarseWSD-20 datasets for "Language Models and Word Sense Disambiguation: An Overview and Analysis"

Content based recommender system for books using NLP.

YouTube GPT is an Android app that allows users to generate video summaries using A.I models. Also capable of answering cross-questions related to the video content!

Finetuning BERT in PyTorch for sentiment analysis.

A showcase of combining Elasticsearch with BERT on the HackerNews public data

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

Powerful document clustering models are essential as they can efficiently process large sets of documents. These models can be helpful in many fields, including general research. Searching through large corpora of publications can be a slow and tedious task; such models can significantly reduce this time.

Small tutorial on how you can use BERT for Topic Modeling