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# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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# Easy stuff
Implement a new data augmentation method, e.g. black out a random block
Auxiliary inputs/outputs for floodfilling
semantics as inputs
affinity map as output
Check if regularization h…
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release date: 2019-03-05
Expected:
- [x] Pytorch-1.0.1
- [x] pandas-0.24.1,
- [x] PyQt5-5.12.1a
- [x] Tensorflow-1.13.1 , for Python-3.7 also
Focus of the release:
- [x] Pyside2-5.12 comp…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Estimated release date: 2018-10-31
expected:
- next iteration of bug fix python: Python-3.7.1, Python-3.6.7
- scikit-learn-0.20, Matplotlib-3.0, pandas-0.23.5,
- Jupyterlab-0.35.1 , IPython-7.1,…
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ICASSP reca(ss)p?
On the hook: @lostanlen @jongwook @mcartwright
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expected (new) date : july 8th
The moving part closely followed of this release is Python-3.7 with numba.
The other parts are in follow-up mode. (10x less effort)
expected features:
- WinPyth…
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Allow specification of separate prior and likelihood blocks, with the model returning log_prior, log_likelihood, and log_posterior = log_prior + log_posterior.
Possibly allow arbitrary model blocks w…