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Hi there 👋

I am...nevermind, that's boring...I do CS, Development, try to learn ML, DL, and umm some stuffs :)

  • 🔭 I’m currently working on (as if): NLP
  • 🌱 I’m currently learning (if i get any time after all the rest i take 😛): varieties of stuff
  • 🤝 I’m looking to (ehem) collaborate on : almost anything exciting 😅
  • 🍕 My current interests (except eating pizza) are: ML, NLP, CV, HCI
  • 💬 (Don't) Ask me about: anything

🧮 Some Stuff I Know (to show off 😎 jk)


C    C++    C#    Java    Kotlin    Python    MySQL    Oracle   
Unity    Pandas    NumPy   


📫 How to Reach Me (except sending a raven)

       

Mueeze Mushabbir's Projects

apriori-fp-growth icon apriori-fp-growth

Frequent Pattern Mining and Association Rule Mining on two algorithms - Apriori and Frequent Pattern (FP) Growth

aquamuse icon aquamuse

AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)

audio-source-separation icon audio-source-separation

This repository contains MATLAB scripts that implement some of the methods discussed in the ECESCON 8 workshop on Audio Source Separation

bengalisummarization icon bengalisummarization

Code and Dataset of our work, Unsupervised Abstractive Summarization of Bengali Text Documents accepted at EACL 2021.

dsp-cocktail_party icon dsp-cocktail_party

This is a Digital Signal Processing (DSP) Project - Cocktail Party - Blind Audio Source Separation.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

hoopla icon hoopla

Social Network Software Project using C++

lipnet icon lipnet

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

lipnet-pytorch icon lipnet-pytorch

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

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