Erfaan-Rostami

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Tehran, Iran

https://gnng-sbu.github.io/

Erfaan Rostami(Amraei)'s starred repositories

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++Apache-2.0183991 7619 39461

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Language:PythonMIT29467 623 178

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Language:PythonApache-2.013197 171 2721

dive-into-machine-learning

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

CC-BY-4.011244 553 68

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Language:PythonMIT10308 624 108

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

Language:Jupyter NotebookMIT7433 4370

docs

TensorFlow documentation

Language:Jupyter NotebookApache-2.06069 2210

pygcn

Graph Convolutional Networks in PyTorch

Language:PythonMIT5109 55 70

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Language:Jupyter Notebook4598 110 109

ipython-notebooks

A collection of IPython notebooks covering various topics.

Language:Jupyter Notebook2609 172 15

xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)

Language:C++NOASSERTION2377 56 2066

imageio

Python library for reading and writing image data

Language:PythonBSD-2-Clause1441 31 596

teaching-material

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

Language:Jupyter Notebook1095 78 7

megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Language:Jupyter NotebookBSD-3-Clause490 25 74

slot-attention

Implementation of Slot Attention from GoogleAI

Language:PythonMIT361 11 6

PyTorch-101-Tutorial-Series

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Language:Jupyter Notebook243 10 1

Deep-Learning

Course: Deep Learning

Language:Jupyter Notebook183 80

ML-mastery

Code from Jason Brownlee's course on mastering machine learning

Language:Python123 130

Mastering-TensorFlow-1x

Mastering TensorFlow 1x, published by Packt

Language:Jupyter NotebookMIT106 13 2

tsne_raw

Implementation of Symmetric SNE and t-SNE in numpy and python

Language:Python74 6 1

Applied-Machine-Learning

Course: Applied Machine Learning

Language:Jupyter Notebook61 90

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)

Language:Jupyter Notebook48 40

HNHN

Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.

Language:Python37 4 7

Algorithms-For-Data-Science

Course: Algorithms for Data Science

Language:Jupyter Notebook15 50

Tools-in-Data-Science

Videos, Slides, Notebooks, and Papers about some of Important Tools in Data Science

Language:Jupyter Notebook7 40

Mathematical-Foundations-of-Data-Science

Course: Mathematical Foundations of Data Science at Shahid Beheshti University

7 10

Fundamental-of-Computer-and-Programming-with-Python

Course: Fundamental of Computer and Programming with Python

Language:HTML5 20

Master-of-Data-Science-at-SBU

Master of Science in Data Science at Shahid Beheshti University

4 30

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

3 10

dgl-lifesci

Python package for graph neural networks in chemistry and biology

Language:PythonApache-2.01 10