khaled-rahnama Goto Github PK
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For the next 30 days, learn the Python Programming language.
Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes
3D Generative Adversarial Network
Code and hyperparameters for the paper "Generative Adversarial Networks"
Do's and Don'ts for Android development, by Futurice developers
A DCGAN to generate anime faces using custom mined dataset
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
open-source electronics prototyping platform
Part of my codes and models for participating to the ASSISTments Competition
A reading list of top Conferences & Journals, focused on facial expression recognition (FER)
A curated list of awesome Matlab frameworks, libraries and software.
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Tensorflow implement for Conditional convolutional adversarial networks.
Script for downloading Coursera.org videos and naming them.
Deformation based curved shape representation, similarity metric, shape modelling and geodesic deformation of curves
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Atom package that enables you to connect to, query, manage, and analyze databases
Query and manage data sources from Atom
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A torch implementation of http://arxiv.org/abs/1511.06434
In this work, we are interested in the application and provision of cutting-edge machine learning algorithms for HC data analysis, which are tailored to suit its specific conditions and challenges. This research focuses on the challenge of using information content that is as high as possible, by considering all the available features, to build a system for HC analysis.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Dense classification of the depth images to recognize the body parts.
Roadmap to becoming a web developer in 2018
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Dual Learning for Machine Translation
DualGAN-tensorflow: tensorflow implementation of DualGAN
A simple tool to download video lectures from edx.org (and other openedx sites)
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.