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