Perceiver
CrabNet
Perceiver | CrabNet | |
---|---|---|
7 | 1 | |
86 | 90 | |
- | - | |
2.6 | 3.7 | |
over 3 years ago | over 1 year 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
CrabNet
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Artificial intelligence can revolutionise science
I don't know. As for "literature-based discovery," this project/paper sounded like a pretty big deal when it came out a few years ago: https://github.com/materialsintelligence/mat2vec . And I see this thing came out more recently: https://github.com/anthony-wang/CrabNet .
Of course not all fields lend themselves as well to this as does materials science.
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.
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow
Invariant-Attention - An implementation of Invariant Point Attention from Alphafold 2
deepmind-perceiver - My implementation of DeepMind's Perceiver
mat2vec - Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
ProteinStructurePrediction - Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.
gato - Unofficial Gato: A Generalist Agent
ViTGAN - A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.