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♾A curated list of papers and code about very deep neural networks
General Modeling Network Specification
Highway Networks implement in pytorch
A collection of codes for 'how far can we go with MNIST' challenge
Highway networks implemented in PyTorch.
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Interesting python codes to tackle simple machine/deep learning tasks
Character-aware Neural Language Model implemented by PyTorch
Using to predict the highway traffic speed
Reimplementing cool papers in PyTorch...
Code for NAACL 2019 paper: "Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions"
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
Machine Comprehension using Squad and Triviqa Data sets
Implementation for paper Highway Network (2015) using Tensorflow 2
Implement Highway Networks based on Tensorflow
Symbolic Modelling of Highway Traffic Networks with METANET
This is the implementation of Highway version of Deep convolutional network, based on https://arxiv.org/pdf/1505.00387.pdf.
Implementing a robust Highway Net in PyTorch
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) .
some models with easy understand code
Python-based code for estimation of highway bottleneck probability using speed transition matrices.
The network of highway of CPEC is to be discussed in it.
This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.
Various architectures in PyTorch (CNN, RNN, etc.)
Implementation of Highway module
Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network