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followers: 6.0 following: 8.0 repos: 104.0 gists: 87.0

Name: Farhan Rahman

Type: User

Company: University of Toronto

Bio: Jacobb AI | 3D AR/VR | Lawrence S. Bloomberg Faculty of Nursing | MEng UOfT '23 | Machine Learning Enthusiast | Deep Learning | ECE Grad '20 | VIT University

Location: Toronto

Hi there, I'm Farhan Rahman 👋

I am a graduate student at University of Toronto,Canada. Apart from being a full time student I am a Computer Vision developer at JACOBB AI building models for segmentation and detection in 3D scenes. My interests are inclined towards Machine Vision and Augmented Reality and Virtual Reality. I am also a part of Nightingale AI where I work as Computer Vision Engineer where I am working on creating an API to help patients recover from knee joint injuries.

  • 🔭 I’m currently working as a Research Intern
  • 🌱 I’m currently learning everything 🤣
  • 👯 I’m looking to enhance skills in Machine Learning
  • 🥅 2023 Goals: Contribute more to Open Source projects
  • ⚡ Fun fact: I love to draw and play basketball

My Reseach Interest:

  • Computer Vision
  • 3D AR/VR
  • MlOps

📕 Latest Blog Posts

Skills:

Languages:

Java  Python  Shell Script  LaTeX  Markdown

ML/DL

Tensorflow  scikit-learn  Fast API  NumPy  Pandas  Plotly

Database

MySQL  PostgreSQL 

Tools and Technologies

Linux  Git 

IDEs

Eclipse  Jupyter Notebook  PyCharm  Visual Studio Code  Vim 

Connect with me:

Farhan's github stats

Farhan Rahman's Projects

arl-eegmodels icon arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

awesome-aml icon awesome-aml

A curated list of awesome adversarial attack and defense papers

dain icon dain

Depth-Aware Video Frame Interpolation (CVPR 2019)

deeplearning-coordinatedbeamforming icon deeplearning-coordinatedbeamforming

Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access, vol. 6, pp. 37328-37348, 2018.

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