Fast-Transformer
reformer-pytorch
| Fast-Transformer | reformer-pytorch | |
|---|---|---|
| 4 | 2 | |
| 146 | 2,052 | |
| - | - | |
| 0.0 | 1.8 | |
| about 2 years ago | 11 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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.
Fast-Transformer
reformer-pytorch
-
[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).
-
[R]How to go about non-reproducible research?
This is what I call great code : https://github.com/lucidrains/reformer-pytorch
What are some alternatives?
Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras
simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
DeepPoseKit - a toolkit for pose estimation using deep learning