Perceiver
performer-pytorch
| Perceiver | performer-pytorch | |
|---|---|---|
| 7 | 2 | |
| 85 | 1,055 | |
| - | - | |
| 2.6 | 1.8 | |
| about 3 years ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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Perceiver
- I implemented Deepmind's new Perceiver Model
- I Implemented Deepmind's Perceiver Model
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[P] I implemented DeepMind's "Perceiver" in PyTorch
Great one, I implemented the Perceiver model too in TensorFlow: https://github.com/Rishit-dagli/Perceiver
- Deepmind's New Perceiver Model
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[P] Implementing Perceiver: General perception with Iterative Attention in TensorFlow
The project: https://github.com/Rishit-dagli/Perceiver
- Perceiver, General Perception with Iterative Attention
performer-pytorch
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[R] Rotary Positional Embeddings - a new relative positional embedding for Transformers that significantly improves convergence (20-30%) and works for both regular and efficient attention
Performer is the best linear attention variant, but linear attention is just one type of efficient attention solution. I have rotary embeddings already in the repo https://github.com/lucidrains/performer-pytorch and you can witness this phenomenon yourself by toggling it on / off
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Why has Google's Performer model not replaced traditional softmax attention?
Here's an PyTorch implementation if you want to play around with it: lucidrains/performer-pytorch: An implementation of Performer, a linear attention-based transformer, in Pytorch (github.com)
What are some alternatives?
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow
memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
reformer-pytorch - Reformer, the efficient Transformer, in Pytorch
gato - Unofficial Gato: A Generalist Agent
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
deepmind-perceiver - My implementation of DeepMind's Perceiver
deep-implicit-attention - Implementation of deep implicit attention in PyTorch
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond