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.

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

Batch Renormalization algorithm implementation in Keras

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