ayuni-mohamed Goto Github PK

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

covid-19-detection

Detect Covid-19 with Chest X-Ray Data

covid19-detection-using-chest-x-ray

Covid-19 detection in chest x-ray images using Convolution Neural Network.

credit-card-default

credit-card-default-prediction

Classification of Credit Card Default

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

data-science-projects

data_science_projects

Data science project code and presentation materials

detr

End-to-End Object Detection with Transformers

facebook-ai-detection-transformer-detr-object-detection

End-to-End Object Detection with Transformers

fall_detection_deep_learning_model

fall detection model using LSTM

falldetection

This repository is a collection of deep learning models created to detect potentially life threatening falls in videos. Models are written in python and utilize tensorflow, pandas and numpy. The most successful model uses the popular 'OpenPose' library to perform feature extraction of humans in videos, and then uses a CNN/LSTM framework to predict is a person is experiencing a potentially fatal fall.

fraud-detection

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

gayaukm

glaucoma-detection

Glaucoma detection using Deep Neural Networks

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

humanfalldetection

Real-time, Multi-person & Multi-camera Fall Detector in Python

lstm-attention

Attention-based bidirectional LSTM for Classification Task (ICASSP)

mlss-indonesia-2020

This is module for practical session of MLSS Indonesia 2020

mlss2020_telkom

models

Models and examples built with TensorFlow

optic-nerve-cnn

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

python_for_image_processing_apeer

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

rcnn

Step-By-Step Implementation of R-CNN from scratch in python

rl_mlss_2020

squeezenet

Tensorflow implementation of SqueezeNet.

u-net-brain-tumor

U-Net Brain Tumor Segmentation

vgg16-in-keras

Implementation of VGG16 architecture in Keras

vot-toolkit-python

The official VOT evaluation toolkit