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  • 👋 Hi, I’m Faisal Tareque
  • 👀 I’m interested in NLP, LLM, Deep Learning, RL, MLOps
  • 🌱 I’m currently learning about RL
  • 💞️ I’m looking for Master's or PhD opportunities
  • 📫 How to reach me [email protected]

Faisal Tareque's Projects

bengali-spell-checker icon bengali-spell-checker

This is a simple spell checker application for Bengali language. It is based on the Norvig's spell checker algorithm. The application is written in Python and uses FastAPI framework.

burgertime icon burgertime

BurgerTime retro game using iGraphics C library.

doppy icon doppy

Aust CSE 2.2 Sofware Development Project. Java,Firebase.

multilingual-rouge icon multilingual-rouge

A multilingual rouge package (followed rouge_score) using BPE-tokenizer (from huggingface)

multilingual-rouge-scorer icon multilingual-rouge-scorer

This Python package is used for calculating ROUGE scores and supports over 100 languages by utilizing a multilingual BPE tokenizer. It leverages the mBERT tokenizer and was developed to support our work XL-HeadTags.

multilingual-sentence-tokenizer icon multilingual-sentence-tokenizer

This Python package is designed for tokenizing sentences in over 40 languages. It serves as a wrapper around various open-source libraries. The package was created to support our work XL-HeadTags. To use it, simply provide the word and its corresponding language to the stemmer, and it will return the stemmed version of the word.

multilingual-stemmer icon multilingual-stemmer

Python package for stemming words in 15+ different languages. It is a wrapper around different stemmers. The package was created to support our work on XL-HeadTags. You just need to pass the word and the language of the word to the stemmer. It will return the stemmed word.

weatherly icon weatherly

Ahsanullah University of Science and Technology,CSE,2.1,SD Lab Project,JavaFX Weather App,Dependency-(JFoenix,Org.Json)

xl-headtags icon xl-headtags

This is the official repository contains the code, data, and models of the paper titled "XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags", accepted for publication in Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL’24).

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