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Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
boosting approach enabling GAN iterations
Implementation of AlexNet (CNN designed by Alex Krizhevsky) in Tensorflow+Tensorboard
:metal: awesome-semantic-segmentation
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Build a character level language model to generate new dinosaur names
Compare GAN code.
tensorflow implementation of CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Tutorial on cost-sensitive boosting and calibrated AdaMEC.
Python Cost-Sensitive Multiclass Classification, incl. Weighted-All-Pairs, Filter-Tree & others
DAGAN: Data Augmentation Generative Adversarial Networks
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
:satellite: Organized Resources for Deep Learning in Natural Language Processing
Deep Learning Examples
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
Full Resolution Residual Networks for Semantic Image Segmentation
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Computation using data flow graphs for scalable machine learning
some loss functions of image segmentation
just another repository
Reference implementations of popular deep learning models.
this is just for testing purpose
Oxford Deep NLP 2017 course
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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.