LSTM-FCN VS reformer-pytorch

Compare LSTM-FCN vs reformer-pytorch and see what are their differences.

LSTM-FCN

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification (by titu1994)
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LSTM-FCN reformer-pytorch
1 2
717 2,059
- -
0.0 1.8
about 5 years ago 11 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LSTM-FCN

Posts with mentions or reviews of LSTM-FCN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-06.

reformer-pytorch

Posts with mentions or reviews of reformer-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-06.

What are some alternatives?

When comparing LSTM-FCN and reformer-pytorch you can also consider the following projects:

DeepPoseKit - a toolkit for pose estimation using deep learning

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras