Displaying 1 to 5 from 5 results

tensorwatch - Debugging, monitoring and visualization for Deep Learning and Reinforcement Learning

  •    Jupyter

TensorWatch is a debugging and visualization tool designed for deep learning and reinforcement learning. It fully leverages Jupyter Notebook to show real time visualizations and offers unique capabilities to query the live training process without having to sprinkle logging statements all over. You can also use TensorWatch to build your own UIs and dashboards. In addition, TensorWatch leverages several excellent libraries for visualizing model graph, review model statistics, explain prediction and so on. TensorWatch is under heavy development with a goal of providing a research platform for debugging machine learning in one easy to use, extensible and hackable package.

attention - No longer maintained - Node

  •    C++

This repo is no longer maintained or supported, please use sharp instead.This was an experimental Node.js module to help you discover which parts of an image draw the focus of human attention.

gmr-saliency - GMR Saliency Map

  •    Javascript

C++ implementation for paper "Saliency Detection via Graph-Based Manifold Ranking" by Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan and Ming-Hsuan Yang. To appear in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, June, 2013. This implementation was written originally by Chuan Yang ycscience86@gmail.com (3-clause BSD license) and uses an also open source SLIC implementation written by Vilson Vieira/The Grid vilson@thegrid.io.

bayesgrad - BayesGrad: Explaining Predictions of Graph Convolutional Networks

  •    Jupyter

The paper is available on arXiv, https://arxiv.org/abs/1807.01985. From left: tox21 pyridine (C5H5N), tox21 SR-MMP, delaney solubility visualization.