Implementation of Highway module
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Updated
Jan 26, 2020 - Jupyter Notebook
Implementation of Highway module
The network of highway of CPEC is to be discussed in it.
Various architectures in PyTorch (CNN, RNN, etc.)
Comparing between residual stream and highway stream in transformers(BERT) .
Python-based code for estimation of highway bottleneck probability using speed transition matrices.
Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network
This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.
The imeplementation of Fully Connected Highway network using TensorFlow. The imeplementation is based on this paper: https://arxiv.org/pdf/1505.00387.pdf
运用cnn + highway network网络结构中文文本分类
Reimplementing cool papers in PyTorch...
Implementing a robust Highway Net in PyTorch
Implementation for paper Highway Network (2015) using Tensorflow 2
Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".
Implement Highway Networks based on Tensorflow
This is the implementation of Highway version of Deep convolutional network, based on https://arxiv.org/pdf/1505.00387.pdf.
Symbolic Modelling of Highway Traffic Networks with METANET
Using to predict the highway traffic speed
Machine Comprehension using Squad and Triviqa Data sets
Code for NAACL 2019 paper: "Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions"
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