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

Spatial pyramid pooling layers for keras

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 implementation of ontology aware token embeddings

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

ConvNet (CNN) implementation to classify x-ray medical images

A collection of layers, ops, utilities and more for TensorFlow 2.0 high-level API Keras

A detailed Research project on Character-Segmentation using Neural Networks!

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

Utility for extracting layer weights and biases from Keras models