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Hi there πŸ‘‹

I am Memoona Tahira! I am a freelance Machine Learning engineer. I am a Computer Science Graduate, and I researched in the domain of human psychology and Computer Vision. I like learning new things, especially how to automate coding tasks so I don't have to do it manually, and also to keep things updated on their own (for as long as possible).🧢

  • πŸ“£ I have explored and created with python, bash, tensorflow, tflite, pytorch, torchscript, docker, GCP, git, and pydoc documentation as a deep learning tech stack.
  • πŸ‘€ Other languages in order of familiarity: C++, MATLAB, LaTeX, VBA, R
  • 🌱 I am currently learning with MLZoomcamp (a 4 months MLE course by Data Talks).
  • 🐌 I am slowly mastering Docker, AWS, Streamlit, git and unit testing.
  • ⚑ Fun fact: I love to read long posts and skim through code. I love well-documented code.
  • 🎯 My interests: Computer Vision and Deep Learning, especially for mobile phone applications.
  • 🌟 I am looking to collaborate on Deep Learning + MLOps projects.
  • πŸ“« Reach out to me on my LinkedIn profile here.

Memoona Tahira's Projects

biconvlstm_violence_detection icon biconvlstm_violence_detection

This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.

crayon icon crayon

A language-agnostic interface to TensorBoard

crowdfix icon crowdfix

IEEE published Eye-tracking dataset of Human Eye Fixations over Crowd Videos. This dataset is part of the MIT/TΓΌbingen Saliency Benchmark datasets.

crowdflow icon crowdflow

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

cvpr2018_survey icon cvpr2018_survey

cvpaper.challenge working repository for surveying all papers of CVPR 2018

dhf1k icon dhf1k

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR2018)

dislocker icon dislocker

FUSE driver to read/write Windows' BitLocker-ed volumes under Linux / Mac OSX

eyetribe_test icon eyetribe_test

Experiment and analysis code to assess the usefulness of the EyeTribe tracker in psychological research.

eymol icon eymol

EYMOL: Eye Movements Laws - for fixation and eval code

fixatons icon fixatons

A collection of Human Fixations Datasets and Metrics for Scanpath Similarity

label-studio icon label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

listen-attend-and-spell icon listen-attend-and-spell

Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.

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