Arya Aftab (@AryaAftab)
github

AryaAftab

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Top repositories

1

LIGHT-SERNET

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Python
62
star
2

Physics-based-neural-network

Physics-based neural network with Sine Activation Function
Jupyter Notebook
10
star
3

rotary-embedding-tensorflow

Implementation of Rotary Embeddings, from the Roformer paper, in Tensorflow
Python
10
star
4

tumor-type-classification

Tumor type classification with traditional feature extractions and classifiers.
Jupyter Notebook
7
star
5

sparselayer-tensorflow

An implementation of Sparse Layers in TensorFlow 2. x.
Python
6
star
6

dropconnect-tensorflow

An implementation of DropConnect Layer (Dense, Conv2D, and Wrapper(for all TensorFlow Layers)) in Tensorflow 2
Python
5
star
7

sincnet-tensorflow

An Implementation of SincNet using Tenorflow 2.x.
Python
5
star
8

Two-Steps-GVF-Snake-Model

Active contours, or snakes, are widely used in medical image processing applications, mainly to locate the desired area boundaries. Gradient vector flow (GVF) field, like other methods of calculating external force fields, is proposed to address ordinary snake modelsโ€™ problems, such as poor convergence in indentations and low accuracy in segmentation of objects owned weak borders. These problems are most pronounced in high-noise images, such as ultrasound images. In order to solve the problems more, we utilized the generalized gradient vector flow snake model using minimal surface and two steps converging using both vector based normalization and component-based normalization with distinct controlling parameters on active contour. We adopt minimal surface function to address the problem of low segmentation accuracy in other conventional methods. We also use two steps converging using both vector-based and component-based normalization with distinct controlling parameters to improve the snake curve converging into long and thin indentations plus higher accuracy in noisy and meandering areas. The results obtained and compared with other methods show that the proposed active contour model not only can converge better into long and thin indentations, along with maintaining weak boundaries but also shows higher accuracy in segmentation of tortuous areas, especially in noisy images.
MATLAB
5
star
9

svm-tensorflow

A repository containing the implementation of the SVM by TensorFlow 2.x
Jupyter Notebook
3
star
10

ML-to-Predict-EE

Official repository of "A Machine Learning Framework for Predicting Entrapment Efficiency in Niosomal Particles".
Python
1
star