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[P] I implemented DeepMind's "Perceiver" in PyTorch
3 projects | /r/MachineLearning | 15 Apr 2021
Great one, I implemented the Perceiver model too in TensorFlow: https://github.com/Rishit-dagli/Perceiver
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.
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
reformer-pytorch - Reformer, the efficient Transformer, in Pytorch
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
gato - Unofficial Gato: A Generalist Agent
Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras
deepmind-perceiver - My implementation of DeepMind's Perceiver
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
EQTransformer - EQTransformer, a python package for earthquake signal detection and phase picking using AI.
Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers