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Keras implementation of Deep Learning papers
This repository will contain model definitions, training scripts, and other for Keras implementations for classification, detection, and segmentation (computer vision)
DropBlock implemented in Keras
從TPU版本修改成keras版.
Training an InceptionV3-based image classifier with your own dataset
Keras implementations of Generative Adversarial Networks.
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
Keras implementation of Graph Convolutional Networks
An implementation of image captioning in Keras
keras 图像识别
Lookahead mechanism for optimizers in Keras.
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
Convert Keras models to ONNX
Utilities for working with image data, text data, and sequence data.
A project template to simplify building and training deep learning models using Keras.
RAdam implemented in Keras & TensorFlow
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
ASCII summary for simple sequential models in Keras
An ongoing effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Keras Implementation of SparseNets
Spatial pyramid pooling layers for keras
Pretrained Squeezenet 1.1 implementation in Keras
Keras Temporal Convolutional Network.
Text Classification Library in Keras
Your every day Keras toolbox.
一个面向初学者的,友好的Keras入门教程
VGGFace implementation with Keras Framework
Neural network visualization toolkit for keras
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.