Mostafa Didar 's Projects
3D visualization in Python of 2525 satellite trajectories computed by a novel collision-avoidance algorithm.
Starter codes for computer vision
We are looking to predict, visualize and act to contain the 2019 n-Coron Virus, through the power of data science.
Exploratory Data Analysis on the Coronavirus data set available in South Korea and Time Series Forecasting using Facebook's Prophet
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Exploratory Data Analysis and Classification on some financial data to find out which clients default on their loans performed on the Home Equity Dataset
This repository contains codes for the paper entitled "Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach"
Understanding crop yield predictions from CNNs as my final project for CS231N
Crop Yield Prediction with Deep Learning
Poverty Prediction by Selected Remote Sensing CNN Features
Cracking the Coding Interview, 5th Edition
DDI Extraction from Biomedical text using LSTM network
Deep Learning-based Clustering Approaches for Bioinformatics
Deep learning courses and projects
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
A paper list of object detection using deep learning.
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.
Contents from 3 day long workshop on the Fundamentals of Machine Learning. Contains intuitions, Data-set, applications of most common Machine Learning Algorithms.
Build a Dialogflow chatbot frontend using Django framework and deploy it on App Engine. At the backend, create a fulfillment that calls the google cloud vision API for text detection in an image (OCR)
Official electron build of draw.io
Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).