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Based on our record, Deep Dream Generator should be more popular than nbviewer.org. It has been mentiond 102 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The level of professionalism that I want is this one, they are my sketches put on deepdreamgenerator.com .I like complexity and good color taste. MTP99i4.jpg (1550×872) (imgur.com) r2sBg2r.jpg (1550×872) (imgur.com). Source: about 1 year ago
Https://deepdreamgenerator.com/ & playgroundai.com are easy to use img to image. Source: about 1 year ago
I started sketching here: https://huggingface.co/spaces/huggingface-projects/diffuse-the-rest Then, after a satisfactory sketch was made, I used https://deepdreamgenerator.com/ the model Cyber and Quantum. Source: over 1 year ago
DeepDream: DeepDream is a Google-developed AI tool that allows users to upload an image and transform it into a surreal, dream-like version of itself. This tool is based on neural networks that have been trained on millions of images, and it uses those networks to find and amplify patterns in the original image. While DeepDream can produce some striking images, it does require some technical knowledge to use... Source: over 1 year ago
You are probably thinking of https://deepdreamgenerator.com/. I haven't used it in several years, I wouldn't be surprised if it has improved to the point where the faces don't happen anymore. Source: over 1 year ago
Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
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