Comments (2)
Thanks for taking a look at larq
and larq/zoo
.
Is there any plan to expand the number of uploaded pretrained weights for other BNN models?
Yes, we plan to add more models in the future. larq/zoo
has been quiet for some time, but we definitely plan to expand the available models in the near future.
Currently larq/zoo
only includes models from paper reproductions, though we are exploring possibilities to expand the scope and add some SOTA models. We might write a proposal for this in the coming weeks, it would be good to get some feedback from the community on this as well then.
I recently found SOTA BNN reference which is called MeliusNet
We currently don't have plans to add MeliusNet to the model zoo, though we would be very happy to accept PRs for adding it. If you would be interested in contributing the model to larq/zoo
we would be very happy to help.
from zoo.
Thanks a lot!
from zoo.
Related Issues (20)
- Unexpected behavior of the "include_top" argument HOT 3
- Unexpected behavior of the "preprocess_input" function HOT 1
- Make ordering of docstring constistent
- Snapshot tests of model summaries HOT 2
- RFC: structure change HOT 3
- Add model accuracies to docstrings
- QuickNet(Large) models don't match released h5 files
- Support TensorFlow 2.2 HOT 3
- QuickNet model and flip_ratio metric do not work together HOT 3
- Update weights and parameters in docstrings
- QuickNet no-top models pretrained weights are not working as expected HOT 1
- No 'sota' module HOT 2
- Speech Models HOT 2
- About RealToBinaryNet model HOT 14
- Intermediate results of training R2B model HOT 5
- Data directory HOT 1
- Reproducing R2B model HOT 6
- Help, no logs are printed! HOT 2
- The usage of data.cache() causes the run out of memory. HOT 5
- Drop Python 3.6 support
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from zoo.