Aya Shabbar's starred repositories
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
EECE5644-Machine_Learning
Graduate course on Machine Learning
Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
Awesome-time-series
A comprehensive survey on the time series domains
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
DRL_graph_exploration
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Covid-19-deaths-forecasting
Application of ARIMA, SARIMA and HWES model and their comparison
ARIMA_LSTM_COVID19__Time_Series_Forcasting_MOROCCO
ARIMA and LSTM models to forecasting COVID19 trends in Morocco developed in Python. The full paper is published in https://link.springer.com/article/10.1007/s42979-022-01019-x
Covid19_Malaysia_New_Cases_Prediction
This project will predict new cases for Covid19 in Malaysia using deep learning RNN - LSTM Model using past 30 days windows frame
zimbabwe-covid-forcast-lstm-model
The project is to forecast the spread of covid 19 in Zimbabwe using an LSTM model. The input data comprise of 5 inputs.
COVID-19-Global-Prediction
COVID-19 Global Prediction Using CNN-LSTM Model
Covid-19-Forecast
Implemented LSTM Model to forecasted ‘Active’ cases of COVID-19 for a country.
Covid-19_RNN-LSTM-_Keras
This is a small project regarding prediction of corona virus daily new confirmed cases worldwide with the help of LSTM model using keras implementation
COVID-19-Prediction
Using Linear, Logistic, LSTM, GRU, and Prophet models
COVID19-Death-rate
A Pytorch time series model that predicts deaths by COVID19 using LSTMs
Time-Series-Forecasting-using-FB-Prophet-and-LSTM-model
Forecasting SA Covid-19 Data using FB Prophet and LSTM models
CoviDash-stacked
A time-series prediction algorithm for COVID-19 cases that uses a stacked model approach of LSTM and Transformer with Attention.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
supershape_exporter
[ supershape exporter ] is a custom software to export supershapes in OBJ format, and it is based on the supershape by Paul Bourke.
stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Face2face1024_colab_demo
A Colab repository for the face2face 1024px training
face2face-demo
pix2pix demo that learns from facial landmarks and translates this into a face
face2face-demo
This is the accompanying code for the Medium article: https://medium.com/@karol_majek/high-resolution-face2face-with-pix2pix-1024x1024-37b90c1ca7e8
community-code
A repository filled with code shared by the community during coding sessions and from-scratch challanges
BayesForSEIRD
Application of OPAL (Occam Plausibility Algorithm) based Bayesian learning to SEIRD model of COVID-19 disease spread in Texas
covid19_prediction
Survival-Convolution Model for COVID-19 Prediction