Metadata-Version: 2.0
Name: astar-tcn
Version: 0.0.1
Summary: tcn package
Home-page: https://github.com/ASTARCHEN/TCN
Author: A.Star
Author-email: astar@snowland.ltd
License: Apache v2.0
Description-Content-Type: UNKNOWN
Platform: all
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: pytorch
Requires-Dist: argparse
Requires-Dist: numpy

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Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN)
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This repository contains the experiments done in the work [An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling](https://arxiv.org/abs/1803.01271) by Shaojie Bai, J. Zico Kolter and Vladlen Koltun.

We specifically target a comprehensive set of tasks that have been repeatedly used to compare the effectiveness of different recurrent networks, and evaluate a simple, generic but powerful (purely) convolutional network on the recurrent nets' home turf.

Experiments are done in PyTorch. If you find this repository helpful, please cite our work:


