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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Neural network visualizer
Neural Artistic Style in Python
Google Cloud Datalab samples and documentation
Object-Proposal Evaluation Protocol is 'Gameable'
paper reading group
Pragmatic Scala 中文版——《Scala实用指南》代码清单(包含 SBT 版本(切到sbt分支))
📖 A collection of pure bash alternatives to external processes.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A Machine Learning library based on Theano
python implementation of Itti's saliency map
Intro to Python for Vision Research
R-CNN: Regions with Convolutional Neural Network Features
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
region proposal network
Code for CVPR13 paper - Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
RGB-D detection pipeline with object proposals by EdgeBoxes and object classification by Multimodal CNN
Haze can cause poor visibility and loss of contrast in images and videos. In this article, we study the dehazing problem which can improve visibility and thus help in many computer vision applications. An extensive comparison of state of the art single image dehazing methods is done. One simple contrast enhancement method is used for dehazing. Structure- texture decomposition has been used in conjunction with this enhancement method to improve its performance in presence of synthetic noise. Methods which use a haze formation model and attempt at solving an ill-posed problem using computer vision priors are also investigated. The two priors studied are dark channel prior and the non-local prior. Both qualitative and quantitative comparisons for atmospheric and underwater images on all three methods provide a conclusive idea of which dehazing method performs better. All this knowledge has been extended to video dehazing. A video dehazing method which uses the spatial and temporal information in a video is studied in depth. An improved version of video dehazing is proposed in this article, which uses the spatial-temporal information fusion framework but does not suffer from some of its limitations. The new video dehazing method is shown to produce better results on test videos
Saliency
Shallow and Deep Convolutional Networks for Saliency Prediction
显著性特征提取
Algorithm that generates accurate superpixel segmentation for noisy images (particularly useful for biological images such as electron microscopic images etc.)
Still a work in progress and adding code..
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.