An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
# Description
This is to implement the following paper:
🧾 [Paper](https://ojs.aaai.org/index.php/AAAI/article/view/28153)
👩💻 [Code](https://github.com/shirowalker/UCAD/tree/main)
I do not have a CUDA-enabled device, so I wasn't able to test the author's code. I tried porting it to an MPS version, but due to unsupported types, I wasn't able to run it. Would it be possible to give me a week of time? I have made some arrangements to get access to a CUDA-enabled machine.
Discussed in https://github.com/openvinotoolkit/anomalib/discussions/1940
@inbasperu can you comment here as well so I could assign this to you. Otherwise, Github does not let me do that
.take
@inbasperu are you still working on this?
Hey @ashwinvaidya17,
I do not have a CUDA-enabled device, so I wasn't able to test the author's code. I tried porting it to an MPS version, but due to unsupported types, I wasn't able to run it. Would it be possible to give me a week of time? I have made some arrangements to get access to a CUDA-enabled machine.
@inbasperu Yeah that's alright. I was just ensuring all issue are up-to-date