how-do-vits-work
vit-explain
| how-do-vits-work | vit-explain | |
|---|---|---|
| 3 | 2 | |
| 784 | 708 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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how-do-vits-work
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A New Deep Learning Study Investigate and Clarify the Intrinsic Behavior of Transformers in Computer Vision
Github: https://github.com/xxxnell/how-do-vits-work
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[D] Paper Explained – How Do Vision Transformers Work?
Code for https://arxiv.org/abs/2202.06709 found: https://github.com/xxxnell/how-do-vits-work
- How Do Vision Transformers Work?
vit-explain
- [D] Off-the-shelf image saliency scoring models?
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Explainability for Vision Transformers TF Implementation
Im trying to implement this code of visualization/explainability of ViT's in tensorflow but im having trouble trying to find a similar function of the module.RegisterForwardHook for TF. Any ideas on how can I do it?
What are some alternatives?
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
captum - Model interpretability and understanding for PyTorch
awesome-fast-attention - list of efficient attention modules
mmdetection - OpenMMLab Detection Toolbox and Benchmark
MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
OpenPrompt - An Open-Source Framework for Prompt-Learning.
attention_to_gif - Visualize transition of attention weights across layers in a Transformer as a GIF
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.