Fast-Transformer
reformer-pytorch
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| Fast-Transformer | reformer-pytorch | |
|---|---|---|
| 4 | 2 | |
| 146 | 1,984 | |
| - | - | |
| 3.2 | 0.0 | |
| almost 2 years ago | 5 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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Fast-Transformer
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Tracking mentions began in Dec 2020.
reformer-pytorch
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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
What are some alternatives?
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
Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow
LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras
DeepPoseKit - a toolkit for pose estimation using deep learning
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video 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.