Keras implementation of class activation mapping
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Aug 5, 2017 - Python
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deep-learning-visualization
Here are 24 public repositories matching this topic...
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
visualization nlp natural-language-processing vuejs deep-learning attention deep-learning-library attention-mechanism text-visualization attention-mechanisms deep-learning-visualization self-attentive-rnn self-attention attention-visualization attention-scores
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May 4, 2018 - Vue
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
deep-learning pytorch occlusion cnn-classification pytorch-cnn pytorch-classification pytorch-transfer-learning pytorch-cnn-classification pytorch-models deep-learning-visualization pytorch-visualization deep-learning-cnn
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Oct 13, 2021 - Python
🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
deep-learning interactive-visualization interpretability deep-learning-visualization interactive-interface
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Jan 23, 2020 - JavaScript
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
machine-learning human-in-the-loop interpretability explainable-artificial-intelligence researchers interactive-machine-learning deep-learning-visualization human-in-the-loop-machine-learning explainable-ml xai interpretable interpretable-machine-learning iml model-interpretability explainable interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods
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Sep 29, 2022 - R
Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.
action-recognition video-classification deep-learning-visualization interpretable-deep-learning epic-kitchens attribution-methods
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Oct 3, 2023 - Python
Notebooks for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
deep-learning interactive-visualization interpretability deep-learning-visualization interactive-interface
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Oct 3, 2019 - Jupyter Notebook
My Notes on Deep Learning 💫
deep-learning tensorflow keras neural-networks convolutional-neural-networks deep-learning-visualization tensorflow-object-detection-api tensorflow-object-detection neural-networks-visualization
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Nov 15, 2020
Visualize the convergence of complex roots with different optimizers.
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Oct 15, 2018 - Jupyter Notebook
📉 Visualize your Deep Learning training in static graphics
python graph metrics plot accuracy keras-visualization loss deep-learning-visualization learning-curves static-visualization plotnine
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Jul 30, 2018 - Python
Data for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
deep-learning interactive-visualization interpretability deep-learning-visualization interactive-interface
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Oct 3, 2019
Pure Swift TensorBoard plugin for DL4S
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Nov 9, 2021 - Swift
Major: Computer Graphics
university shaders tensorflow glsl raytracer gans deep-learning-visualization masters-degree lighting-system toon-shader graphical-programs
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Aug 16, 2023 - Jupyter Notebook
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
python machine-learning deep-learning python-library keras data-visualization python3 python-package keras-callback keras-visualization machine-learning-visualization deep-learning-visualization
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Aug 18, 2020 - Python
An abstract deep learning training framework.
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Apr 19, 2023 - Python
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
pyside2 real-time-processing drawing-app tensorflow-examples mnist-classifier deep-learning-visualization
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Aug 8, 2019 - Python
Keras implementation of class activation mapping
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Aug 5, 2017 - Python
Fitsbook React WebApp. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras.
react github-pages machine-learning deep-learning keras keras-visualization deep-learning-visualization real-time-visualisation
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Apr 23, 2024 - JavaScript
A simple simple version of tensorboard implemented by d3.js
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Jan 28, 2022 - JavaScript
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