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### Team Name:
CCH
### Project Description:
The emerging field of hybrid quantum-classical algorithms joins CPUs and QPUs to speed-up/improve specific calculations within a classical algorithm.…
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# GenericTensor 2.0: plan
Alright, time for improvement
## 1 action - 1 interface
Currently we have a large interface which forces the user to implement all its methods. It's not as good as i…
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There's an interesting proposal over at WebAssembly System Interface repo https://github.com/WebAssembly/WASI/issues/59 we should discuss.
Quoting OP:
>It might sound too early to be talking about…
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Is it currently possible to perform a regression with multiple outputs. I.e a single instance of the dataset looks as follows:
x = [0.7,0.6,0.3]
y = [0.2,0.3]
This would seem impossible given the…
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Provide a new interface letting users specify a data set, scanning in the values and converting them into a usable format for a neural network. This could use the approach used in the crime2015 data s…
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### Describe the bug
**It seems the wandb crash when I run another program using DDP.**
I have two separate Python programs, A and B. Program A uses `torch.nn.DataParallel` to run a neural network…
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The result of the `execTC` builtin which is used for making system calls can depend on external resources which can change over time. The problem is that if the file containing that system call type-c…
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Try to generate the RSS microchip, maybe it will quantify the virtual application!
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Most regression models are hardcoded with learning method: Learn(F64Matrix observations, double[] targets), what if we had multiple predicted variables.
I want to add method Learn(F64Matrix observati…
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Can use:
- https://fr.mathworks.com/matlabcentral/fileexchange/64247-simple-neural-network
example:
- input: structure
- output: forces or dyn matrix, or vDOS, etc.
farhi updated
5 years ago