Aydin Ayanzadeh (Ayanzadeh93)

Ayanzadeh93

Geek Repo

Location:United States

Home Page:http://web.itu.edu.tr/ayanzadeh17/

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Aydin Ayanzadeh's repositories

Udacity-Advance-Lane-detection-of-the-road

Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.

Dog-Breeds-Identification

In this playground competition, you are provided a strictly canine subset of ImageNet in order to practice fine-grained image categorization. How well you can tell your Norfolk Terriers from your Norwich Terriers? With 120 breeds of dogs and a limited number training images per class, you might find the problem more, err, ruff than you anticipated.

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Antcolony-edgedetection

Edge detection by Ant Colony Optimization,

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Union_Find

Union-Find implementation using Python. (Union-By-Rank & Path-Compression)

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bash_collection-for-ubuntu

This is the set-up script for Google Cloud.

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19_udacity_dsa

Data Structures & Algorithms Nanodegree Program from Udacity

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adamalston

It's a SECRET!

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Algorithms

A collection of algorithms and data structures

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cs231n

My Solution of Assignments of CS231n Winter2016

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d2l-en

Dive into Deep Learning

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github-slideshow

A robot powered training repository :robot:

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GuangLun2000.github.io

(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website

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kaizoku-oh

GitHub profile readme

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keras-contrib

Keras community contributions

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MachineLearning-homeworks

This is my homeworks that i have done for the machine learning course

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

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stb

stb single-file public domain libraries for C/C++

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Usiigaci

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

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