PyTorch implementation of the U-Net for image semantic segmentation with high quality images
- pytorch
- unet
- pytorch-unet
- semantic-segmentation
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tensorboard for pytorch (and chainer, mxnet, numpy, ...)
- pytorch
- tensorboard
- machine-learning
- visualization
TensorFlow's Visualization Toolkit
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Gaining advanced insights from Git repository history.
- git-analysis
- machine-learning
- tensorflow
- git
CNN visualization tool in TensorFlow
- tensorflow
- tensorboard
- convolutional-neural-networks
- cnn
Tensorboard extension for Jupyterlab all in one
- jupyterlab
- jupyterlab-extension
- tensorboard
- tensorflow
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
- ai
- tensorflow
- tensorflow2
- keras