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Hi there, I'm Gizem 👋

I've spent some time working with signal processing and machine learning. My interests range from audio processing to biomedical sensing and acoustic wireless communications.

  • 🔭 Currently, I'm working on some super cool audio machine learning projects at work.
  • 🌱 I'm eager to learn more about contributing to open-source and bringing machine learning systems into real-world use.
  • 🤓 I'm on the lookout for a paper reading&coding group on audio ML and/or LLMs. Let's connect if you're aware of one or are interested in setting up a new one!

Below a glimpse of my previous works, primarily from my time in grad school. For a closer look, feel free to visit my personal webpage or my LinkedIn profile.

Gizem's Projects

coco icon coco

MS COCO API - http://mscoco.org/

image2caption2image icon image2caption2image

Combination of two deep learning models to build a pipeline that generates captions from images, and images from these captions.

implementgan icon implementgan

A comparative re-implementation of Generative Adversarial Networks

mlsp icon mlsp

A single-channel source separation project that aims to determine the speakers at a given time and estimate each speaker's total speaking time from the audio recordings.

python_for_data_science icon python_for_data_science

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

tf-rnn icon tf-rnn

Practical Examples for RNNs in Tensorflow

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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