173 karma · joined May 4, 2019
My impression is that it is useful only in the Apple ecosystem. It that correct? Is it worth learning for things other than iOS and macOS applications?
Booking bus tickets - RedBus and other portals accept credit cards. To use cash one must book at the terminal.
Downloading https://huggingface.co/runwayml/stable-diffusion-v1-5/resolv... from huggingface Loading model /home/hrishi/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf/v1-5-pruned-emaonly.ckpt onto cuda backend...
followed by a download
Thank you for creating this.
After that... C++ was fun initially and later felt way too featured. I don't like C++ code now (especially with heavy template use and stl and boost).
I now code in Python (because most of the things I work on are in Python) though I don't like the dynamic typing.
My potential new love is Rust but we are still working out some issues
man-preview not found
Your comment about time domain making audio difficult - before doing some research I thought it would make it impossible. But looks like people have had some success with using spectrograms of short audio samples. What techniques should I try to learn to deal with the time component of audio?
One idea is to chop up the audio into short samples and treat the resulting images as a video. Then look at DL algorithms that deal with video. Am I on the right track?
Even DL used for audio processing (classification, separation etc) seems to convert audio to spectral graphs and apply DL to that.
Changing a problem to be expressed as image inputs will be an advantage when using DL as a solution. Would you agree ?
vi/vim is nice but I find the convenience of VSCode - auto complete, show inf doc etc - very useful