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visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.xiaomi-miband-android
Access Xiaomi MiBand from Android (4.3+) via Bluetooth LE.CNN-Filter-DB
A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)parallel-matplotlib-grid
This Python 3 module helps you speedup generation of subplots in pseudo-parallel mode using matplotlib and multiprocessing. This can be useful if you are dealing with expensive preprocessing or plotting tasks such as violin plots per subplot.vlm_shapebias
Official code for "Are Vision Language Models Texture or Shape Biased and Can We Steer Them?".biases_vs_generalization
Official code for the CVPR 2024 Paper "Can Biases in ImageNet Models Explain Generalization?".torchconvquality
A library for PyTorch model convolution quality analysis.cvpr22w_RobustnessThroughTheLens
Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"tinytorchtrainer
A small framework to train image classifiers in PyTorchadversarial_solarization
Official implementation of Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifierspytorch-pretrained-cnns
A framework and model zoo for CNN training.padding_robustness
Official repository for the ICCVW2023 paper "On the Interplay of Convolutional Padding and Adversarial Robustness".adversarial_training_vs_humans
Official repository for the CVPRW2023 paper "An Extended Study of Human-like Behavior under Adversarial Training".torchconvview
A library for PyTorch convolution layer visualizations.diffusion-noise-cls-pytorch
This is an unofficial implementation of the diffusion-style noise frontend in "Intriguing properties of generative classifiers" by Priyank Jaini, Kevin Clark, Robert Geirhos to improve the shape-bias of vision models.onnxzoo2filterdb
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