[PyTorch] Lab-10

Visdom is a visualization tool that generates rich visualizations of live data to help researchers and developers stay on top of their scientific experiments.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

The VISDOM project will develop new types of visualisations that utilise and merge data from several data sources in modern DevOps development.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

This repository contains the code to train a simple image classifier (tutorial) and to produce some example plots with visdom.

A html parsing & node selecting and mutation library written in Rust, using APIs similar to jQuery, left off the parts thoes only worked in the browsers.

Visdom is a powerful and flexible platform for visualizing data, from FB. It fulfills much the same role as tensorboard, and is simple to use.

It exposes feature data derived from interval meters via a fast and intuitive filtering, segmentation, and clustering interface.

The VISDOM project will develop new types of visualisations that utilise and merge data from several data sources in modern DevOps development.