grseb9s Goto Github PK
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
The Inception-ResNet v2 model using Keras (with weight files)
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Implementation of IndRNN in Keras
Keras implementation of MaskRCNN object detection.
Google MobileNet implementation with Keras
"NASNet" models in Keras 2.0+ with weights
Keras implementation of Non-local Neural Networks
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
Implementation of the PoseNet Architecture in Keras
Utilities for working with image data, text data, and sequence data.
A project template to simplify building and training deep learning models using Keras.
Keras package for region-based convolutional neural networks (RCNNs)
Recurrent Convolutional Neural Networks in Keras
Keras package for deep residual networks
Residual networks implementation using Keras-1.0 functional API
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras implementation of RetinaNet object detection.
SegNet model implemented using keras framework
Keras Implementation of SparseNets
Spatial pyramid pooling layers for keras
Implementation of Squeeze and Excitation Networks in Keras
A tutorial on running Keras models in Tensorflow
Your every day Keras toolbox.
VGG, RasNet and Inception architectures transfer learning
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model
Workshop on using transfer learning for image classification tasks. Presented at DO!Hack 2017
Library for data augmentation
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.