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The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Deep Residual Learning for Image Recognition
deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with high accuracy.
TensorFlow implementation of Deep Reinforcement Learning papers
DeepVis Toolbox
Code release for DeepBox paper in ICCV 2015
OpenCL library to train deep convolutional neural networks
Deep neural network for predicting methylation states of single cells
CNN architecture for articulated human pose estimation
Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow and XGBoost
Deep Feature Interpolation (CVPR 2017)
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking.
Source code of the paper "DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations"
Deep Learning (Python, C, C++, Java, Scala, Go)
Deep Learning Book Chinese Translation
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Torch implementation of DeepMask and SharpMask
Improving Base Calling Accuracy with MinION Flow Cell
DeepPose implementation in Chainer
code for DeepProposal paper presented in ICCV 2015
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
:racehorse:code for cvpr2016 paper "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs"
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.