Erfaan Rostami(Amraei)'s repositories
Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)
A-Practical-Introduction-to-Python-Programming
Simplified way of learning python language
dgl-lifesci
Python package for graph neural networks in chemistry and biology
Project-Euler
If you want to solve interesting problems with Python, then we recommend to solve the problems of Project Euler!
Deep-Learning
Useful Information About Deep Learning
Machine-Learning
I would like to gather some useful materials on machine learning which i have studied and use in my Possible projects here.
Scene-Understanding-and-Scene-Graphs
This field is a challenging topic in computer vision. It requires to detect all objects in an image, but also to identify all the relations between them. Detected objects, their labels and the discovered relations can be used to construct a scene graph which provides an abstract semantic interpretation of an image.
Applied-Machine-Learning
Course: Applied Machine Learning
hands-on-machine-learning
Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.
Introduction-to-TensorFlow-
A Mathematical Approach to Advanced Artificial Intelligence in Python
Mathematical-Foundations-of-Data-Science
This repository contains the following three resources for understanding the mathematical foundations of data science.