Pinned Repositories
-Pulmonary-Fibrosis-Competition-EDA
🩺Kaggle Pulmonary Fibrosis Competition
1D-cnn-and-AdaBoost-together
alzheimers-dementia
Alzheimer's dementia classification and MMSE score regression
An-Lightweight-Multi-Scale-Feature-Fusion-Network-LMSFF-Net
APTOS2019BlindnessDetection
:3rd_place_medal: (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.
Attention-Res-UNet-with-Guided-Decoder-for-Semantic-Segmentation-of-Brain-tumors
A new Deep Learning architecture for automatic segmentation of brain tumors.
AttnSleep
The code for TNSRE work: "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
audio_classification
Multi-class audio classification with MFCC features using CNN
AudioSignal_FeatureExtraction
StackCovNet
StackCovNet is an improved stacked deep convolutional network, that uses DenseNet-201, ResNet50 and VGG19 as the underlying base-learners, and a novel stacking network followed by Majority Voting in order to classify Chest X-Ray (CXR) images of COVID-19 positive patients, healthy subjects and pneumonic patients.
sarmad-m's Repositories
sarmad-m/ML_WebApp_on_IRIS_Classifier
This web application is built using streamlit. The app uses machine learning model to classify the iris flowers. Moreover, this web app is deployed on Heroku.
sarmad-m/papyrus
sarmad-m/COVIDNet
COVIDNet is a project that intends to predict COVID-19 infection status solely by vocal audio recordings.
sarmad-m/model_attention
add channel/spatial attention
sarmad-m/covid-19-detection-from-chest-xray
A web app to predict whether a person has COVID-19 from their Chest X-Ray (CXR) scan by image classification using Transfer Learning with the pre-trained models VGG-16 and DenseNet201 with ImageNet weights.
sarmad-m/StackCovNet
StackCovNet is an improved stacked deep convolutional network, that uses DenseNet-201, ResNet50 and VGG19 as the underlying base-learners, and a novel stacking network followed by Majority Voting in order to classify Chest X-Ray (CXR) images of COVID-19 positive patients, healthy subjects and pneumonic patients.
sarmad-m/respiratory-disease-prediction
This codebase is focused on predicting lung diseases from a breathing sounds dataset. 8 experiments were conducted on 5 different machine learning models. In addition, a novel data augmentation algorithm was performed and tested.
sarmad-m/ResUNetPlusPlus-with-CRF-and-TTA
ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
sarmad-m/An-Lightweight-Multi-Scale-Feature-Fusion-Network-LMSFF-Net
sarmad-m/ESA-UNet-Enhanced-Spatial-Attention-U-Net-for-Retinal-Vessel-Segmentation
sarmad-m/automatic-sleep-stages-classification
Project for the class of 'Machine Learning for Time-Series' - Master MVA
sarmad-m/Deep-Attention-Network-for-BraTS20
Deep Supervised Attention Networks for Pixel-wise Brain Tumor Segmentation. Affiliated with Data and Knowledge Engineering Group, Faculty of Computer Science, OVGU Magdeburg, Germany.
sarmad-m/BSEResU-Net
Tensorflow implementation of BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation
sarmad-m/iris-Classification-using-Streamlit
iris deployment using streamlit
sarmad-m/UNet-U2Net-MultiResUNet-for-Vessel-Segmentation
Vessel Segmentation with U-Net, U^2-Net, MultiRes U-Net Models
sarmad-m/ML-Projects-showcase
The showcase versions of my machine learning projects without any high size files
sarmad-m/vb-net-sales-inventory-management-system
Sales and Inventory System using VB.NET and MS Access with Source Code
sarmad-m/DigitalHistoPath
sarmad-m/JASA_Speech_Disorder_Detection_Manuscript
This repo includes many of the scripts necessary for replicating our analyses of our submission to the Journal of the Acoustical Society of America.
sarmad-m/MobileNetV2-Segmentation
MobileNetV2 Fine-Tuning for Polyp Segmentation
sarmad-m/sleep-eeg-workshop
Files for workshop to analyze sleep EEG data
sarmad-m/SleepEDF
sarmad-m/Automatic-Sleep-Stage-Classification-using-EEG-Data
Here we use EEG data to automatically classify sleep stages using neural networks built using Keras.
sarmad-m/Product-Management-System
Product Management System is a Inventory Application Developed using VB.NET.
sarmad-m/ResUNetPlusPlus
ResUNetplusplus for semantic image segmentation in TensorFlow Keras
sarmad-m/AudioSignal_FeatureExtraction
sarmad-m/ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
sarmad-m/Semantic-Segmentation-for-Self-driving-cars
Self-driving cars require a deep understanding of their surroundings. To support this, camera frames are used to recognize the road, pedestrians, cars, and sidewalks at a pixel-level accuracy. In this project, we develop a neural network and optimize it to perform semantic segmentation using Unet and Segnets.
sarmad-m/BrainTumorsDetector-T34
:four_leaf_clover: Brain Tumors Detector with Machine Learning on BRATS18 Dataset :dizzy:
sarmad-m/UNet-family
Paper and implementation of UNet-related model.