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defraction's Projects

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abdominalmodels_segmentation icon abdominalmodels_segmentation

3D models of the abdominal organs created from a patient’s anonymized dataset of CT images from DICOM Library using semi-automatic segmentation

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

bohrium icon bohrium

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

coursera_structuring-machine-learning-projects icon coursera_structuring-machine-learning-projects

Introduction This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.

data-science-wiki icon data-science-wiki

A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets

datasciencer icon datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

deep_learning_with_keras icon deep_learning_with_keras

🛠️ Repository created while working on the 'Deep Learning with Keras' course by Antonio Gulli and Sujit Pal

dicom icon dicom

this is my Bechelor thesis' project.Data analysis of shape of prostate for image segmetation

dicom-to-png icon dicom-to-png

A simple python module to make it easy to batch convert DICOM files to PNG images.

doit icon doit

task management & automation tool

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