neuralnetworkingtechnologies Goto Github PK
Type: User
Company: Neural Networking Technologies
Location: Greater Seattle Area
Type: User
Company: Neural Networking Technologies
Location: Greater Seattle Area
ID3-based implementation of the ML Decision Tree algorithm
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Keras code and weights files for popular deep learning models.
Implementation of a couple deep learning models using TensorFlow
Deep Residual Learning for Image Recognition
Deep Dream Challenge code by @SIrajology on Youtube (Learn Python for Data Science #5)
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, Saliency Map.
DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"
Deep learning driven jazz generation using Keras & Theano!
Working copy of Deeplab repository
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Implementation of recent Deep Learning papers
Torch implementation of DeepMask and SharpMask
The original code from the DeepMind article + my tweaks
Implementation of some deep learning algorithms.
Deep learning in Python
A modification of Google's Deep Q-Network to learn to play Super Mario Bros.
Deformable Convolutional Networks
a fork of the densecrf package implementing alternative inference scheme
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
DenseNet Implementation in Keras with ImageNet Pretrained Models
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
DenseNet Implementation in Tensorflow
A PyTorch implementation of DenseNet.
A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
Caffe code for Densely Connected Convolutional Networks (DenseNets)
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.