There are 5 repositories under keras-layer topic.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
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.
Batch Renormalization algorithm implementation in Keras
Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube
Neural Tensor Network Implementation as a keras layer
Keras model convolutional filter pruning package
Implementing activation functions from scratch in Tensorflow.
Utilities for Keras - Deep Learning library
Restricted Boltzmann Machines as Keras Layer
CRF(Conditional Random Field) Layer for TensorFlow 1.X with many powerful functions
A collection of layers, ops, utilities and more for TensorFlow 2.0 high-level API Keras
ConvNet (CNN) implementation to classify x-ray medical images
A Keras layer that acts as multiplexer for Dense layers (Tensorflow backend only)
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
A detailed Research project on Character-Segmentation using Neural Networks!
Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model
Utility for extracting layer weights and biases from Keras models
language model for basic jack and jill poem using RNN
Image classification using Keras and implement forward pass using Python(only numpy) and C++ for FPGA
Creating Word Embeddings using Keras
A Keras implementation of the paper "Robust Graph Convolutional Networks Against Adversarial Attacks"
Keras, Tensorflow eager execution layers for exponential smoothing
Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images
Deep Learning model for predicting success of venture capital recipients
Seq2Seq model that restores punctuation on English input text.
Beginning with NLP
用tensorflow2實現weight standardization,為了訓練方便將其建立成keras layer。
A Keras layer that performs a map operation over a ragged tensor
Keras Custom Layers of AdaCos and ArcFace contains experiments in caltech birds 2011(CUB-200-2011).
This repository contains starting files for the Behavioral Cloning Project. In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle. We have provided a simulator where you can steer a car around a track for data collection. You'll use image data and steering angles to train a neural network and then use this model to drive the car autonomously around the track. We also want you to create a detailed writeup of the project. Check out the writeup template for this project and use it as a starting point for creating your own writeup. The writeup can be either a markdown file or a pdf document. To meet specifications, the project will require submitting five files: model.py (script used to create and train the model) drive.py (script to drive the car - feel free to modify this file) model.h5 (a trained Keras model) a report writeup file (either markdown or pdf) video.mp4 (a video recording of your vehicle driving autonomously around the track for at least one full lap) This README file describes how to output the video in the "Details About Files In This Directory" section.
Keras Core Addons: Useful extra functionality for Keras Core.