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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! đ)
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Best transfer learning and domain adaptation resources (papers, tutorials, codes, etc.)
A technical report on convolution arithmetic in the context of deep learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Domain Adaptation Networks for Digit Recognitioning
my personal Domain Adaptation Project
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Implementation of paper multi-source distilling domain adaptation
A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
Machine LearningăDeep LearningăPostgreSQLăDistributed SystemăNode.JsăGolang
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
An implementation of several transfer learning algorithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â¤ď¸ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.