-
Updated
May 1, 2019
A collection of codes for 'how far can we go with MNIST' challenge
Highway networks implemented in PyTorch.
Highway Networks implement in pytorch
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Character-aware Neural Language Model implemented by PyTorch
Interesting python codes to tackle simple machine/deep learning tasks
Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".
Reimplementing cool papers in PyTorch...
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"
Machine Comprehension using Squad and Triviqa Data sets
ConvNetJS neural networks translated to U++ framework.
General Modeling Network Specification
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.
The imeplementation of Fully Connected Highway network using TensorFlow. The imeplementation is based on this paper: https://arxiv.org/pdf/1505.00387.pdf
Implementing a robust Highway Net in PyTorch
Various architectures in PyTorch (CNN, RNN, etc.)
The network of highway of CPEC is to be discussed in it.
Implementation of Highway module
Add a description, image, and links to the highway-network topic page so that developers can more easily learn about it.
To associate your repository with the highway-network topic, visit your repo's landing page and select "manage topics."