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while decoding process without any need of back propagation, can i set some parameter reduce the memory we need allocate to the dynet?
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Thanks.
I really need to make it faster please.
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Hi there,
I am looking for the codes related to hyperparameter tuning for the DeepSurv method in the following example, but I am not able to find it.
https://github.com/havakv/pycox/blob/master/…
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### Description
Qiskit Applications (Optimization, Finance, Nature, ML) have some performance benchmarks implemented. By performance we understand various metrics like executing time, required me…
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### Is your feature request related to a problem?
_Currently the normalization processor doesn't support z-score which is a popular technique and according in some instances produces superior results…
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I use trainsform_video and the code shows this error:
'''
OSError: [Errno 32] Broken pipe
MoviePy error: FFMPEG encountered the following error while writing file ./examples/results/foxy.mp4:
…
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## Human understandable and machine verifiable LECs
### Deliverables (Use [subs/PROPEL](https://gitlab-ext.galois.com/assuredautonomy/csaf_architecture/-/tree/subs/PROPEL) branch):
- PROPEL traine…
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Post questions here for one or more of our fundamentals readings:
Jurafsky, Daniel and James H. Martin. 2015. Speech and Language Processing. Chapters 15-16 (“[Vector Semantics](https://web.stanfor…
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Figured it might be a good idea to keep track of the different hyper-parameter combinations/ strategies we've tried while troubleshooting the issue of the PSO getting stuck in a local optima.
Basel…
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This is something I've been able to reproduce over 3 different datasets, although all 3 are text embeddings. Each case is a binary classification problem where the positive class frequency is roughly …