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Modified implementation of DCGAN focused on generative art.
:love_letter: Learn the art of writing quality READMEs.
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Implementation of Artificial Potential Field (Reactive Method of Motion Planing)
Torch implementation for the paper "Artistic style transfer for videos"
Mesure distance using apple ARKit
Web interface for browsing, search and filtering recent arxiv submissions
Renders papers from Arxiv as responsive web pages so you don't have to squint at a PDF.
Tool for extracting a visual summary of new papers uploaded to ArXiv.
A new home for asciimathml
"Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis", In ASE 2017
yolov3, ASFF
Aspect-augmented Adversarial Networks for Domain Adaptation
This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" available at http://arxiv.org/abs/1603.01547.
Assignment 1: automatic differentiation
Assignment 2: GPU Executor
TensorFlow implementation of Fast Weights
ASTER in Pytorch
Code, data, and instructions for mapping orbits of asteroids in the solar system
Asynchronous One Step Q Learning implemented with MXNET
A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Asynchronous Methods for Deep Reinforcement Learning
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.