Fast-Transformer
reformer-pytorch
| Fast-Transformer | reformer-pytorch | |
|---|---|---|
| 4 | 2 | |
| 150 | 2,132 | |
| - | - | |
| 0.0 | 1.8 | |
| almost 3 years ago | over 1 year ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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Fast-Transformer
reformer-pytorch
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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
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.
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
DeepPoseKit - a toolkit for pose estimation using deep learning
language-planner - Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"