D2L_Attention_Mechanisms_in_TF VS Invariant-Attention

Compare D2L_Attention_Mechanisms_in_TF vs Invariant-Attention and see what are their differences.

D2L_Attention_Mechanisms_in_TF

This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book. (by biswajitsahoo1111)
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D2L_Attention_Mechanisms_in_TF Invariant-Attention
7 1
12 6
- -
0.0 10.0
over 2 years ago over 1 year ago
Jupyter Notebook Python
- Apache License 2.0
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Invariant-Attention

Posts with mentions or reviews of Invariant-Attention. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing D2L_Attention_Mechanisms_in_TF and Invariant-Attention you can also consider the following projects:

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af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.