highway-network

Highway network implemented in pytorch

Highway Networks implement in pytorch

Highway networks implemented in PyTorch.

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Using to predict the highway traffic speed

Character-aware Neural Language Model implemented by PyTorch

Interesting python codes to tackle simple machine/deep learning tasks

Code for NAACL 2019 paper: "Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions"

运用cnn + highway network网络结构中文文本分类

Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".

Symbolic Modelling of Highway Traffic Networks with METANET

Implementation for paper Highway Network (2015) using Tensorflow 2

Implement Highway Networks based on Tensorflow

Implementing a robust Highway Net in PyTorch

This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

Python-based code for estimation of highway bottleneck probability using speed transition matrices.

Comparing between residual stream and highway stream in transformers(BERT) .

some models with easy understand code

A PyTorch Implementation of the Highway Networks paper (Training Very Deep Networks) on the Cifar10 dataset

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network