sarmad-m Goto Github PK

-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

automatic-sleep-stage-classification-using-eeg-data

Here we use EEG data to automatically classify sleep stages using neural networks built using Keras.

automatic-sleep-stages-classification

Project for the class of 'Machine Learning for Time-Series' - Master MVA

automatic_sleep_scoring

The goal is to create an automatic (preferably online) scoring of sleep stage scoring using raw EEG signals

brain-tumor-segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

braintumorsdetector-t34

:four_leaf_clover: Brain Tumors Detector with Machine Learning on BRATS18 Dataset :dizzy:

bseresu-net

Tensorflow implementation of BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation

characteristic-based-time-series-clustering

Time Series Clustering Based on Characteristic Based Feature Extraction inspired by the paper mentioned in the README

classification-of-cognitive-mental-workload

codewars-solutions-in-python

Codewars solutions in python2.7.6

copddetectionusingacoustics

Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease

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.

covid-densenet

covidnet

COVIDNet is a project that intends to predict COVID-19 infection status solely by vocal audio recordings.

data-analysis

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.

deep-emotion-feature-extraction

deployment-of-iris-classifier-machine-learning-model-using-streamlit-on-local-webapp

This is a self-learning project. The iris classifier models is deployed on a local webapp using Streamlit. User can choose to use Linear Regression, Logistic Regression and Support Vector Machine to classify the iris.

depressionestimation

Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation

diabetic_retinopathy_detection

digitalhistopath

dreem-challenge-kaggle---sleep-stage-classification