TokenCut VS nn

Compare TokenCut vs nn and see what are their differences.

TokenCut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut" (by YangtaoWANG95)
unsupervised-object-detection saliency-detection Transformer attention cvpr2022
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nn

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง  (by lab-ml)
Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming
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nn.labml.ai
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TokenCut nn
1 26
285 48,709
- 5.1%
1.2 7.7
about 1 year ago about 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing TokenCut and nn you can also consider the following projects:

pytorch-GAT - My implementation of the original GAT paper (Veliฤkoviฤ‡ 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!

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

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

labml - ๐Ÿ”Ž Monitor deep learning model training and hardware usage from your mobile phone ๐Ÿ“ฑ

D2L_Attention_Mechanisms_in_TF - This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.

functorch - functorch is JAX-like composable function transforms for PyTorch.

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

ZoeDepth - Metric depth estimation from a single image

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

onnx-simplifier - Simplify your onnx model

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

TokenCut vs pytorch-GAT nn vs GFPGAN-for-Video-SR TokenCut vs poolformer nn vs labml TokenCut vs D2L_Attention_Mechanisms_in_TF nn vs functorch TokenCut vs nlp-tutorial nn vs ZoeDepth TokenCut vs pytorch-seq2seq nn vs onnx-simplifier nn vs Basic-UI-for-GPT-J-6B-with-low-vram nn vs Behavior-Sequence-Transformer-Pytorch