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PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

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My GPU is only 30%~50% utilized when running this project, it's too slow!

Hello! Firstly, let me just thank you for this great repo. Its the clearest practical explanation of Deep Dream I've found online! The issue: When I try to run the...

Looks like an import was missing for `download_url_to_file` from `from torch.hub`, in the AI Ephiphany reconstruction section. I've added the import at the top of the file, with other imports,...

I've attempted to look through this repository, but I have not found any support for this. I trained googlenet model based on my own image set according to this tutorial:...

Hi, when I try to run section 21 of the jupyter notebook I am returned the follow error: Downloading resnet50_places365.pth.tar from http://places2.csail.mit.edu/models_places365/resnet50_places365.pth.tar it may take some time. --------------------------------------------------------------------------- NameError Traceback...

## New Models Added support for: - ViT base and large - ConvNeXt base, large and xxl - New ResNets - All [CLIP](https://github.com/openai/CLIP) and [OpenCLIP](https://github.com/mlfoundations/open_clip) models *For CLIP and OpenCLIP...

- added apples metal "mps" device for hardware acceleration on apple silicon - removed white boarder on images - resnet downloading didnt work (now it does, but something is still...