vit-explain VS how-do-vits-work

Compare vit-explain vs how-do-vits-work and see what are their differences.

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?" (by xxxnell)
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vit-explain how-do-vits-work
2 3
708 784
- -
0.0 0.0
about 2 years ago almost 2 years ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

vit-explain

Posts with mentions or reviews of vit-explain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.

how-do-vits-work

Posts with mentions or reviews of how-do-vits-work. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing vit-explain and how-do-vits-work you can also consider the following projects:

captum - Model interpretability and understanding for PyTorch

Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

mmdetection - OpenMMLab Detection Toolbox and Benchmark

awesome-fast-attention - list of efficient attention modules

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

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

OpenPrompt - An Open-Source Framework for Prompt-Learning.

query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

attention_to_gif - Visualize transition of attention weights across layers in a Transformer as a GIF