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## Purpose
Provide an interface, akin to `from milatools.datasets.torch import ImageNet`, to acquire and use certain datasets in a *location aware* way. For example, when running on the Mila cluste…
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Hi,
I tested MAML and Reptile algorithms using mini-imagenet dataset, and the data are sampled using a TasksetDataset,
Question: Is it normal that after the set of tasks are created, the inputs …
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I'm attempting to reproduce the paper results on LEVIR-CD+ & I note you trained for 100 epochs and apparently didn't use early stopping. Based on my training run it appears learning plateaus after 30-…
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### Description
Imagenet64 dataset from tensor2tensor used in this gin config:
https://github.com/google/trax/blob/master/trax/supervised/configs/reformer_imagenet64.gin
seems to have some load…
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Hi! I tried following the clustering guide, but comparing tsne vs umap and k-means vs hdbscan, but in the end umap and hdbscan had some pretty awful performances, can you help me understand why?
The …
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Hey,
I was running model evaluations on my own custom data-split for all models in the registry using:
```bash
python eval.py --gpus 0 --models --eval-settings custom_dataset
```
where `` comes …
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Enable support for Diet model using TTNN ops.
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Hello! I've found a performance issue in /scripts/imagenet_utils.py: `batch()` should be called before `map()`, which could make your program more efficient. Here is [the tensorflow document](https://…
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Hi! Thank you for your interesting repo!
I'm considering to colorize my scenery's dataset.
To do so, I plan to utilize pre-trained model of ImageNet from [guided diffusion](https://github.com/open…
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Would be great to have (optional) model evaluation.
Possibilities:
- CLIP score (e.g. on a reference set of captions like the ones from Parti)
- FID, or inception distance in general where we c…