Comments (4)
howardjp
commented on May 31, 2024
1
A little context since I just put it on GitHub. I've got a Docker image with TorchCDE on it for use on the OpenScienceGrid. As soon as it is converted to a Singularity image by the OSG people, I will soak up every spare GPU cycle in the hemisphere!
https://github.com/k3jph/torch-diffeq
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patrick-kidger
commented on May 31, 2024
1
Closing this as we now have both torchsde and torchcde available on PyPI, so installation should work smoothly.
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patrick-kidger
commented on May 31, 2024
Ach. I swear this worked when I tried it! But you're right, it's breaking things.
I've removed the version requirement, which should solve things for now. Let me know if this works / if it doesn't.
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howardjp
commented on May 31, 2024
Trust me, I've been there. Yes, the current version is installing.
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Related Issues (20)
- setup.py and torchsde HOT 1
- publish `torchcde` on PyPI HOT 1
- Consider opening a GH discussions HOT 13
- Online prediction tasks needs examples HOT 4
- About how to use on seq2seq works HOT 5
- Sequence outputs from Neural ODE (similar to 'many to many' RNN)? HOT 3
- CDEs with Image Data HOT 1
- Comparison to alternative ODE models HOT 4
- About how to use CDE in Variational Autoencoders? HOT 1
- Integration to pytorch lighting pipeline HOT 1
- piping in & predicting arbitrary streams of values
- Very slow training with market data, normal? HOT 1
- much slower when using torchsde as backend. HOT 2
- Integrate the ODE function of the CDE system to infinity HOT 2
- Please consider create conda distribution (maybe conda-forge?) HOT 1
- Prediction of irregular time series HOT 1
- Masking Coefficients? HOT 2
- Seq2seq forecasting: adding temporal information and extrapolation
- Overfitting
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