Hi! I’d say a data vizualisation library that can hook into Visdom (& tensorboardX I guess…). Visdom is great and all in that it gives you the freedom to plot anything but I believe that features on top of it would be great for convenience. It could help with gradient vizualisation, model explainability, model architecture, deeper look into losses which consists of different summations etc.
Another one that I feel is missing is some sort of metric library. Precision, recall, AP & mAP for bounding boxes, segmentation metrics and god knows what.
Edit: I’m not entirely sure about what content exists other frameworks such as ignite & fastai. Do they already cover this?