♾A curated list of papers and code about very deep neural networks

General Modeling Network Specification

Highway network implemented in pytorch

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

Character-aware Neural Language Model implemented by PyTorch

Interesting python codes to tackle simple machine/deep learning tasks

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

Symbolic Modelling of Highway Traffic Networks with METANET

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.

Implementing a robust Highway Net in PyTorch