Ibrahim Hadzic (ibro45)

ibro45

Geek Repo

Company:Artificial Intelligence in Medicine @ Harvard Med School & Mass General Brigham

Location:Boston

Home Page:https://www.linkedin.com/in/ibrhad/

Twitter:@hadziibro

Github PK Tool:Github PK Tool


Organizations
Maastro-CDS-Imaging-Group

Ibrahim Hadzic's repositories

Speech-to-Speech-Translator

The Babel Fish v0.01 is a translator that can identify the language spoken from the user's audio input and translate it into English speech

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Language-Identification-Speech

Deep learning approach to identifying languages from short audio samples. Method for obtaining and preprocessing a dataset included.

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Brain-Tumor-Detection

Project done at the JunctionX Budapest hackathon. Description of the challenge: https://budapest.hackjunction.com/challenges/varian

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CT-Brain-Pathology-Detection-Pytorch

https://github.com/brainhackzg/brainhackzg.github.io/wiki#computer-aided-brain-pathology-detection-in-ct-images

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VolunteeringToday

A service that automatically scrapes social networks for volunteer events and adds them to a website along with AI-backed text recognition for filtering purposes and face recognition for logging user attendance.

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audiosetdl

Scripts for downloading AudioSet

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contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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idiotuino-car

An autonomous Arduino-powered car that uses three ultrasonic sensors for navigating itself.

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lightly

A python library for self-supervised learning on images.

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midi-rnn

Generate monophonic melodies with machine learning using a basic LSTM RNN

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NLP-vs-LLM-Medical-Report-Anonymization

Code for the paper "Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models" by MC Langenbach et al.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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