My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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Updated
Dec 6, 2021 - Python
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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.
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]
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
Utilities for Keras - Deep Learning library
A detailed Research project on Character-Segmentation using Neural Networks!
Restricted Boltzmann Machines as Keras Layer
Utility for extracting layer weights and biases from Keras models
Keras and tensorflow transfer learning, starting from the pre-trained inception_resnetV2 model
CRF(Conditional Random Field) Layer for TensorFlow 1.X with many powerful functions
Keras, Tensorflow eager execution layers for exponential smoothing
A Keras layer that acts as multiplexer for Dense layers (Tensorflow backend only)
Keras Custom Layers of AdaCos and ArcFace contains experiments in caltech birds 2011(CUB-200-2011).
Seq2Seq model that restores punctuation on English input text.
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