Custom keras layers for hyperspectral data and RNNs

Stock Trend and Price Prediction using Deep Learning Model (Using a sequence Model "LSTM: Long Short Term Memory Network")

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

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.

Keras Core Addons: Useful extra functionality for Keras Core.

Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images

A Keras implementation of the paper "Robust Graph Convolutional Networks Against Adversarial Attacks"

Utilities for Keras - Deep Learning library

Seq2Seq model that restores punctuation on English input text.

Deep Learning model for predicting success of venture capital recipients

Image classification using Keras and implement forward pass using Python(only numpy) and C++ for FPGA

Predicting turbine energy yield (TEY) using ambient variables as features.

transform sets of bezier curves into a raster image

Keras, Tensorflow eager execution layers for exponential smoothing

Utility for extracting layer weights and biases from Keras models

Using Transfer Learning and TensorFlow to Classify Different Dog Breeds (Machine Learning and Data Science course)

Implementing activation functions from scratch in Tensorflow.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

A Keras layer that performs a map operation over a ragged tensor

用tensorflow2實現weight standardization,為了訓練方便將其建立成keras layer。