There are 6 repositories under keras-implementations topic.
An awesome semantic segmentation model that runs in real time
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
A Virtual Assistant for Windows PC with wicked Qt Graphics.
Keras callback function for stochastic weight averaging
My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors
Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
An implementation of DropConnect Layer in Keras
Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349
Keras深度学习框架配置+Keras教程+Keras Trick
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
Examples and tutorials to the steppy library
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
Open solution to the Cdiscount’s Image Classification Challenge
Permutation learning Sinkhorn layer implementation in keras
Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection
ConvNet (CNN) implementation to classify x-ray medical images
Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
A deep neural network with tensorflow and keras using mnist dataset
A human emotion recognition based learning assistant. HACKOH/IO - 2019
Utility for extracting layer weights and biases from Keras models
based on paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim
This repository gives informations how to implement deep learning algorithms with keras and pytorch libraries.
Original Keras implementation of the code for the paper "Client-driven animated GIF generation framework using an acoustic feature," at 1171: Real-time 2D/3D Image Processing with Deep Learning (MTAP)
Keras implementation of VGG from the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" - https://arxiv.org/abs/1409.1556
Fun project for generating anime pictures using Deep Convolutional Generative Adversarial Networks (DCGAN)
A Capsule Network implementation in pure Keras running on Tensorflow 2.0
Built a convolutional neural network to detect visual symptoms of medical conditions in eye images, along with a Flask application allowing users to upload their own pictures and receive real-time predictions
Saves models in HDF5 FORMAT used in Keras and also TensorflowSavedModels
Layer-sequential unit-variance implementation for tf.keras
Implementation of image classification model to identify the class the input image belongs to.
Contains courses in specializations of coursera on deep learning