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Ali Gholami's Projects

mcan-vqa icon mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

microprocessors icon microprocessors

AVR ATmega16 Microcontroller Programming and Simulation with AtmelStudio and Proteus.

minimal icon minimal

Personal blog theme powered by Hugo

mleng icon mleng

The machine learning course presentation on how to deal with challenges in machine learning production under supervision of Prof. M. E. Shiri.

mnist-drawer-dcgan icon mnist-drawer-dcgan

Implementation of a deep convolutional generative adversarial network to draw MNIST characters using Tensorflow.

mnist-drawer-vae icon mnist-drawer-vae

Implementation of a Variational Autoencoder to draw MNIST dataset characters using Tensorflow.

notmnist icon notmnist

Implementation of multiple machine learning classifiers and regularization techniques on the notMNIST dataset.

nrfduino icon nrfduino

A wireless network using nRF24L01 and two Ardunio UNO boards.

numex icon numex

:jack_o_lantern: :ghost: The pure functional programming language interpreter, built with Racket under supervision of Prof. Mehran S. Fallah.

paralab icon paralab

Parallel Programming Lab Resources.

parallax icon parallax

Multi-core Programming coursework and assignments under the supervision of Prof. Mahmoud Momtazpour.

pattern_classification icon pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

patterns icon patterns

Statistical Pattern Recognition coursework and assignments under the supervision of Prof. Mohamad Rahmati.

pycm icon pycm

multi class confusion matrix library in python.

pyrgg icon pyrgg

🔧 Python Random Graph Generator

pythia icon pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

ranjoor icon ranjoor

Ganjoor with some difficulties in React-Native.

rlbase icon rlbase

My Reinforcement Learning Practice Code Base.

salbce icon salbce

SalGAN implementation with pytorch trained on [DHF1K, LEDOV, SALICON] using [BCE, Adversarial] loss.

sam icon sam

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

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