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I slightly modified the code in examples/resnet/cpp/main to measure execution time. measurements showed different results on linux and android, with the first run out of 100 showing approximately th…
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I tried to experiment with approximate counting (FACT algorithm) using the commands below.
java -cp boostsrl_v1.1.1.jar edu.wisc.cs.will.Boosting.MLN.RunBoostedMLN -l -train train/ -target (target)…
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Hi!
I successfully deployed it on my computer, I tried to re-score the results of virtual screening, I only used a simple for loop, when there are thousands of results to be predicted, each predict…
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To ensure the inference does not create a bottleneck or delay it would be useful to know the approximate number of images captured per evening (ballpark figure would suffice)
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Hi, I'm grateful for your excellent work! I've implemented the code as per the instructions, and it runs without errors. However, the inference time is slow, approximately 176 seconds per iteration. I…
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@rsullivan-lord I tried over the week to use the PyMC3 package for regular MCMC, but I had a hard time getting it to work. So I'm back to using ABC instead. Good thing is that I found [pyABC](https://…
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I assume for a 100B model you need more or 100Gigs of RAM, or does this reduce the ram requirements?
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Would including the benchmark info of representative runs in the documentation be helpful?
These runs could include a 14-day ensemble simulation, a 1-year deterministic simulation, and so on. It w…
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When I super-resolution a 1024 * 1024 image into 4096 * 4096, I used 70GB of GPU memory and spent 18 minutes, which seems to contradict the advantages stated in the paper. I wonder if this is normal?
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During inference, we rescale the length of the driving pose skeleton to approximate the length of the character’s
skeleton in the reference image. Does anyone know how to do this step? I saw it in th…