MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
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Updated
Aug 8, 2019 - Python
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
Keras implementation of class activation mapping
Fitsbook React WebApp. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras.
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
Visualize the convergence of complex roots with different optimizers.
An abstract deep learning training framework.
Visualizer for deep learning and machine learning models
Neural network visualization toolkit for keras
Major: Computer Graphics
Run Keras models in the browser, with GPU support using WebGL
Data for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.
A simple simple version of tensorboard implemented by d3.js
📉 Visualize your Deep Learning training in static graphics
Pure Swift TensorBoard plugin for DL4S
My Notes on Deep Learning 💫
Notebooks for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
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