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Hi this is Parisima 😊

  • 🎓 Soon, I will graduate with a Master's degree in Electrical and Computer Engineering from New York University!
  • 🧠 I'm deeply passionate about learning various Machine Learning and Deep Learning techniques. My work has predominantly focused on Image Processing, Computer Vision, and Deep Learning, particularly within the Inverse Problems and Generative domains.
  • 🚀 My hobbies include camping 🏕️, working out 💪, hiking 🌄, painting 🎨, dancing 💃, among others!
  • 🤝 I am always open to collaboration within teams, so please feel free to reach out! [email protected]
  • 🔁 I will be regularly updating this space! (Note: Some repositories are still private.) Check back often for more updates!

Tools:

Python MATLAB C C++ SQL VHDL Tableau LaTeX Shell Jekyll VSCode TensorFlow PyTorch NumPy SciPy Seaborn Pandas OpenCV Scikit-learn Matplotlib CUDA HPC Azure

Illustration:

Adobe Photoshop Adobe After Effects Adobe Premiere Pro

Parisima Abdali's Projects

broccoli icon broccoli

Neural Implicit Representation for Video And Related Applications - for ECE 6123 2023 @ NYU

data_analysis_ces icon data_analysis_ces

Examination of Computer, Engineering, and Science Occupations in the United States utilizing the IPUMS US dataset. Our study delves into employment patterns across diverse occupational categories within four key domains: diversity, employment trends, education, and industry over the American Community Survey (ACS) 5-year period from 2017 to 2021.

machine_learning_note icon machine_learning_note

Informative review notes on Machine Learning / Deep Learning concepts. Each folder represents a distinct branch, including some theoretical explanation + coding and useful examples as well as projects.

mr-synthesis icon mr-synthesis

Deep learning-driven MR-Contrast Image Synthesis aimed at reducing or eliminating the need for Gadolinium injections in Contrast Enhanced T1 (T1CE) imaging.

pathdetector icon pathdetector

Detecting the desired path by programming an Ultrasonic Robot

pokgan icon pokgan

Generating New Pokemon Using Two-Stage Generative Adversarial Networks

routh_hurwitz_stability icon routh_hurwitz_stability

A complete Routh-Hurwitz Stability method implementation, for a second, third and higher-order polynomials. Moreover, an optimized version is available which works in special conditions.

tvmri icon tvmri

TV - MRI Reconstruction Compressed Sensing

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