D2L_Attention_Mechanisms_in_TF VS TokenCut

Compare D2L_Attention_Mechanisms_in_TF vs TokenCut 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)

TokenCut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut" (by YangtaoWANG95)
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D2L_Attention_Mechanisms_in_TF TokenCut
7 1
12 285
- -
0.0 1.2
over 2 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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TokenCut

Posts with mentions or reviews of TokenCut. 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 TokenCut you can also consider the following projects:

NLP-With-PyTorch - My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.

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!

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

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

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.