Hi, I wasn't very happy with the existing options for managing/visualizing deep learning experiments, so (naturally) I rolled my own (and spent way too much time in the process).
Specifically, what I didn't like was:
1) The strange ritual of launching a terminal command and being told to open my browser in a local port always struck me as a bit clunky.
2) I want to visualize tensors and do arbitrary plots as I go, with MatPlotLib. (TensorBoard specifically can be restrictive in the plot types.)
So here's the result; a fully responsive app in PyQt. There's a GIF showcasing most features after the link!
Comments
Hi, I wasn't very happy with the existing options for managing/visualizing deep learning experiments, so (naturally) I rolled my own (and spent way too much time in the process).
Specifically, what I didn't like was: 1) The strange ritual of launching a terminal command and being told to open my browser in a local port always struck me as a bit clunky. 2) I want to visualize tensors and do arbitrary plots as I go, with MatPlotLib. (TensorBoard specifically can be restrictive in the plot types.)
So here's the result; a fully responsive app in PyQt. There's a GIF showcasing most features after the link!