[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
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Feb 21, 2022 - Python
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network-complexity
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We are developing a method to estimate the complexity of various aspects of language by using a minimum complexity neural network. Starting with color naming systems in various languages.
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Jun 8, 2022 - Jupyter Notebook
The Bias-Variance Tradeoff Visualization project provides an interactive tool to understand the bias-variance tradeoff in machine learning models. It visually demonstrates how different models perform on training and validation datasets, helping users grasp the concepts of overfitting and underfitting.
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Aug 21, 2024 - Jupyter Notebook
A collection of Python scripts to explore and visualize the B-Matrix of a graph network. Part of CPSC 547 (Information Visualization) 2022 at UBC.
benchmarking mesh-networks network matrix data-visualization infovis information-visualization networks network-analysis clique-graph small-world-networks infoviz network-comparison network-complexity b-matrix network-portrait
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Dec 23, 2022 - Python
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Dec 5, 2024 - Python
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