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

General Modeling Network Specification

Using to predict the highway traffic speed

⚡ Build a lightweight, non-interactive CLI for Gemini in Go, inspired by Google's Gemini CLI, to enhance your command-line experience.

Symbolic Modelling of Highway Traffic Networks with METANET

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

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

Highway Networks implement in pytorch

Interesting python codes to tackle simple machine/deep learning tasks

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.

The network of highway of CPEC is to be discussed in it.

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

Various architectures in PyTorch (CNN, RNN, etc.)

Implementation for paper Highway Network (2015) using Tensorflow 2

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

Implementation of Highway module

Reimplementing cool papers in PyTorch...

some models with easy understand code

Implementing a robust Highway Net in PyTorch