sajad-usr Goto Github PK

activecontour

This is an implementation of active contour algorithm.

birddetection

This work detects birds using segmentation methods. First, I segment the input image using Felzenszwalb method. After that I compare the features (intensity histograms) of sample bird with features of each segment. If they are close, I label that segment as a bird.

causalinference

This repository includes my codes for Causal Inference course at Sharif University of Tehran

chess

This is a code for a chess game. I did this project to learn python and in particular OOP.

deeplearning-hw1

My solutions to hw1

deeplearning-hw2

DeepLearning-HW2

deeplearning-hw3

HW3

deeplearning-hw4

RNNS

deeplearningproject

This project is for deep learning course, EECS6322, at YorkU.

differntialequation

This project solves Differential Equations by Runge-Kutta and Euler methods. This project was for my Numerical Analysis course.

dl-in-communicationsystems

Implementing some of the papers regarding application of deep learning in communication systems.

homography-and-imagewarping

Given the coordinates of a book in the input image, this code maps the book to axis-aligned form by a homography mapping. The mapping is done using backward warping

houghtransform

This is an implementation of Hough transform. It is used to find corners of a chess board

hybridimages

This code creates a hybrid image. This image shows Mark Wahlberg from a close distance and Matt Damon from a far distance. The actors images were taken from their IMDB profiles.

imagecolorization

imagecompletion

In this code image synthesis is used for image completion. This is a homework from Principles of Image Processing course taught at Sharif University of Technology

imageregistration

This is a code for image registration. I did this as a homework for Principles of Image Processing Course. This code can automatically register most of the images in Prokudin-Gorskii image dataset.

imagesharpening

In this code we try to sharpen a given blur image using four different methods.

k-means

This is an implementation of k-means algorithm

linear-and-logistic-regression

Implementation of basic regressions using numpy

mean-shift

This is an implementation of Mean-Shift algorithm for image segmentation.

morphing

This code is used for morphing two images

multiresolutionblending-and-feathering

Multiresolution Blending and Feathering

poissonblending

Poisson Blending

python-for-machinelearning

This repository contains basic Numpy, Pandas, and Matplotlib stuff needed for ML. This was a homework for ML course taught at SUT EE dep.

reinforcementlearning

I am learning Reinforcement Learning. This repository contains coding assignments I am solving. The assignments are from the RL course taught by Amir-massoud Farahmand. You can access the course materials by the following link: https://amfarahmand.github.io/IntroRL/

sgd-simplemlp

SGD and simple neural networks

slic

This is an implementation of SLIC algorithm for superpixel generation.

stablediffusion

svm-adaboost-hardvoting-convexoptimization

Some learning algorithms