Moein Hasani's Projects
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
Gender classification on 3D IXI Brain MRI dataset with Keras and Tensorflow
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Tensorflow Implementation of Adversarial Attack to Capsule Networks
Custom checkbox implementation for Android
Extensive Open-Source Guides for Android Developers
BASU Android programming jump start workshop . October 17,2018
:memo: Standalone Doctrine Annotations for Nette Framework
:sunglasses: A curated list of awesome MLOps tools
This repository is an attempt to list all malaria parasite imaging datasets (blood smears). Contributions welcome!
This repo contains the source of the tutorial blog posts I write
Evaluation of the CNN design choices performance on ImageNet-2012.
CapsLayer: An advanced library for capsule theory
Empirical studies on Capsule Network representation and improvements implemented with PyTorch.
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ļ¼ 0.34%.
š A visualization of the CapsNet layers to better understand how it works
This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
Chatbot using Seq2Seq model and Attention
VGG16 models for CIFAR-10 and CIFAR-100 using Keras
Implements convolution using overlap-add (OA) method for efficient way to evaluate the discrete convolution of a very long signal. Just for fun. Probably numpy already does that.
The 3rd edition of course.fast.ai
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Code examples in pyTorch and Tensorflow for CS230
Completed the CS231n 2017 spring assignments from Stanford university
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Convolutional Neural Networks