Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

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

The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020

BERT implementation for radiology full-text reports

Part-of-Speech Tagging for simplified and traditional Chinese data with BERT & RoBERTa

Quick and easy tutorial to serve HuggingFace sentiment analysis model using torchserve

Code and data for the NLLP 2021 paper: `Multi-granular Legal topic Classification on Greek Legislation`

[PyPI] BERT Word Embeddings

B.Sc. Thesis Deep Learning & NLP research on Medical Image Captioning

Comparing between residual stream and highway stream in transformers(BERT) .

A dark web analysis tool.

Fine-tuning framework for BERT like models on RACE

Arabic Sentiment Analyzer: Integrating State-of-the-Art Pre-trained Sentiment Models ( AraBERT, and AraNet) in a Single Tool.

This repository contains NLP Transfer learning projects with deployment and integration with UI.

detecting spam in SMS

Accelerating Growth through the DeepBOT Chatbot

The Visual AI Suite is a comprehensive toolkit designed to deliver cutting-edge AI functionalities for processing and analyzing visual data combined with natural language tasks. The suite integrates three powerful models: Image Description, Question Answering, and Visual Question Answering.