Dream-Creator allows individuals to create their own custom DeepDream models in a simple and easy to follow manner.
The default training parameters should work well with almost any image datasets, but you are encouraged to play around with different settings to see how they affect the model's DeepDream visualizations.
Features:
6 different tools for dataset creation, sorting, cleaning, etc...
2 separate visualization/DeepDream tools, with one focusing specifically on FC/Logits layers. Lucent's RedirectedReLU layer is used to increase visualization quality.
Tools for graphing training accuracy results, reducing model size (down to about 20MB in some cases), and creating image grids for camparison are also included.
Windows, Linux, and macOS are supported.
The Wiki has a list of tools and possible image sources for creating your own image datasets, and information for how developers/individuals can use Dream-Creator models in their own projects.
If the included visualization tools aren't enough for your DeepDream needs, then currently my Neural-Dream project supports Dream-Creator models on the "Dream-Creator-Support" branch.