(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
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Updated
Jul 14, 2022 - Python
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Create animations for the optimization trajectory of neural nets
Landscaper is a comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
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Surrogate Gap Guided Sharpness-Aware Minimization (GSAM) implementation for keras/tensorflow 2
Worth-reading papers and related awesome resources on deep learning optimization algorithms. 值得一读的深度学习优化器论文与相关资源。
просто мой блоггер для обучения моделек, можно посмотреть веса модели и построить ландшафт
code and difference of resolution for visualizing the loss landscape of a GAN and understanding what a loss landscape is
This project builds on recent research that explores the phenomenon of Grokking. The goal is to investigate when, why, and how grokking occurs, focusing on transformers under various batch sizes.
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