mohamedelmesawy Goto Github PK
Name: MOhamed ElMesawy
Type: User
Bio: Machine/Deep Learning Engineer | Computational Designer | Researcher
Location: Egypt, Cairo
Name: MOhamed ElMesawy
Type: User
Bio: Machine/Deep Learning Engineer | Computational Designer | Researcher
Location: Egypt, Cairo
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Hands-On Generative Adversarial Networks with Keras, published by Packt
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
This is a test project to try the cookiecutter tool in creating the Project Structure.
1KB lightweight, fast & powerful JavaScript templating engine with zero dependencies. Compatible with server-side environments like node.js, module loaders like RequireJS and all web browsers.
A reproducing for article LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
For learning pupose
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
this is a test project
Classifying emails as spam or ham (not spam) using the Multinomial Naive Bayes algorithm in Python 2.7.
Neural Network Libraries https://nnabla.org/ - Examples
Numerical methods in C#
An (almost) fully comprehensive reference for OpenCV! 📷🤖
Image-to-image translation with conditional adversarial nets
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks"
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
PyTorch Tutorial for Deep Learning Researchers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.