antoinedemathelin

Hi @davidshumway, Yes, if I understand well the paper, you can make something close using adapt, but not totally equivalent. The paper use a two step training as [`ADDA`](https://adapt-python.github.io/adapt/generated/adapt.feature_based.ADDA.html) but...

Hi @sreenivasaupadhyaya , Thank you for reporting these bugs. Indeed, there is a lot of difficulties to handle when the dataset size is not a multiplier of the batch size....

Hi @sreenivasaupadhyaya, I tried to reproduce your bugs, but I didn't find them, for FineTuning I try different batch_size and it works fine. Are you using validation data? I think...

Hi @sreenivasaupadhyaya, Which version of adapt and Tensorflow are you using?

Hi @sreenivasaupadhyaya, I find the issue for RegularTransfer. The `train_step` function used was not compatible with Tensorflow 2.3.1. I opened a pull-request to fix this: #64 For `FineTuning`, it seems...

The bug has been fixed, you can install the fixed version with: `pip install git+https://github.com/adapt-python/adapt.git`

Hello @sreenivasaupadhyaya, Yes, I think you should do `pip uninstall adapt` before the above command line. It should work then.

Hi @sreenivasaupadhyaya, Yes, it's a good observation, but this is not a bug, it is done in purpose. Having a last batch smaller than the batch size can be detrimental...

Hi @hmckay, adapt is tested on macos by github at every commit whithout issue, but I think it install tensorflow instead of tensorflow-macos. Does tensorflow-macos work the same as tensorflow?...

Hi @hmckay, Yes it seems to be a good idea to allow tensorflow-macos instead of tensorflow for mac users. However I wonder if we can make a condition like: if...