reformer-pytorch
Reformer, the efficient Transformer, in Pytorch (by lucidrains)
LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification (by titu1994)
reformer-pytorch | LSTM-FCN | |
---|---|---|
2 | 1 | |
2,052 | 717 | |
- | - | |
1.8 | 0.0 | |
11 months ago | about 5 years 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.
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.
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.
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[D] How to do Long Text ( > 10k tokens) Summarization?
The lucidrains implementation of Reformer can handle tens of thousands of tokens on Google Colab (with batch size 1).
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[R]How to go about non-reproducible research?
This is what I call great code : https://github.com/lucidrains/reformer-pytorch
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.
What are some alternatives?
When comparing reformer-pytorch and LSTM-FCN you can also consider the following projects:
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
DeepPoseKit - a toolkit for pose estimation using deep learning
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