| // IMPORTANT: The configuration file must be a JSON | |
| // This configuration is in .js because of the "comments" errors shown in the gist. | |
| // When copying into the `launch.json` file in vscode just copy the json structure | |
| // without the `module.exports = ` part. | |
| module.exports = { | |
| // Use IntelliSense to learn about possible attributes. | |
| // Hover to view descriptions of existing attributes. | |
| // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 | |
| "version": "0.2.0", | |
| "configurations": [ |
TensorBoard is a visualization toolkit with allows the user to track and visualize metrics such as loss and accuracy, visualize the model graph, histograms, projects embeddings and much more.
Although Tensorboard was created by the TensorFlow people, it can also be used with PyTorch. This gist shows how one can do this.
Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash."
This section describes how one can use it on UNIX to migrate data from a PostgreSQL database to elasticsearch.