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Md. Motahar Mahtab's Projects

bangla-headline-categorizer-app icon bangla-headline-categorizer-app

Bangla Article Headline categorizer made with Streamlit using Transformer models. The pretrained model file is stored in a S3 bucket which is publicly accessible.

bangla-news-headlines-categorization icon bangla-news-headlines-categorization

A Bengali Text Classification Task Using Deep Learning. It is Multi-class Text Classification Problem. Bengali news headlines used for the categorization.

banglabert icon banglabert

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding".

banglanmt icon banglanmt

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

cc icon cc

Code for Clickbait Challenge 2017

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

ebrac icon ebrac

This is an online learning platform created by django framework

ecco icon ecco

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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