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Looks like an interesting project, how about packaging this up for easy install via pip?
or failing that some installation instructions on the README
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**Is your feature request related to a problem? Please describe.**
EWM is a very popular method used in time series analysis, especially in the domain of FSI. cuIndicator is using EWM a lot to comput…
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Hi,
We are facing challenges in ensuring the compatibility and performance of our CUDA code across different GPUs. Given the significant variance in memory capacities and capabilities, it's challengi…
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For the distance sparse matrix obtained by TCRDist, I tried to reduce the dimension first and then cluster. For dimensionality reduction, I used the TruncatedSVD method, which first reduced the origin…
KIEwx updated
8 months ago
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When I ran the EMNIST experiment after generation of emnist dataset I got:
```
(pt) wangshu@ubuntu:~/projects/FedGen$ CUDA_VISIBLE_DEVICES=3 python main.py --dataset EMnist-alpha0.1-ratio0.1 --alg…
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Recently, I have read this paper and code. However, I have some questions about them. Firstly, I can't find details about the TYPE_CONJUGATE branch, especially the early termination criterion. Moreov…
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follow-up to #3070 GSOC project an PR with extensions that will mostly need more time or work after GSOC
- extensions based on level VAR for given parameters
Aleks is already reusing some things lik…
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Hi Will,
Thanks for converting causal impact to python! In my company, we are currently trying to convert a causal impact analysis in R (it used the MarketMatching package) to python.
We hit a …
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Sometimes for debugging purposes or in order to repeat the same call from commandline, it would be useful if CmdStanFit object would include the actual options used to call CmdStan
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```
sage: asymptotic_expansions.SingularityAnalysis('n', alpha=2/5, beta=1, precision=2)
---------------------------------------------------------------------------
KeyError …