♾A curated list of papers and code about very deep neural networks
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Updated
Oct 13, 2020
♾A curated list of papers and code about very deep neural networks
Interesting python codes to tackle simple machine/deep learning tasks
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Highway Networks implement in pytorch
Highway networks implemented in PyTorch.
General Modeling Network Specification
A collection of codes for 'how far can we go with MNIST' challenge
Character-aware Neural Language Model implemented by PyTorch
Machine Comprehension using Squad and Triviqa Data sets
Code for NAACL 2019 paper: "Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions"
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
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
Using to predict the highway traffic speed
Implementing a robust Highway Net in PyTorch
Implementation for paper Highway Network (2015) using Tensorflow 2
The imeplementation of Fully Connected Highway network using TensorFlow. The imeplementation is based on this paper: https://arxiv.org/pdf/1505.00387.pdf
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