Damien Lancry

ah I was only thinking about uncertainty selection, I did not think about information density or ranked batch mode, in this case yes I think the transformation will have an...

is this from scikit-learn?

after reading part of the code i realize that deep bayesian active leaning is not directly applicable with modal since the Committee class requires a list of learners to be...

Also I just discovered skorch, a sklearn wrapper for pytorch that would be useful to extend modAL to pytorch

Hi, sorry for my late reply as well I think your implementation is good because the general committee based active learning framework that is described in the literature prescribes to...

I am now using skorch and modAL it works fine! if you could give me direction to write a some test module somewhere, i would gladly do that

I opened a pull request #44 giving a runnable example but it seems i am not authorize to contribute

thanks for giving me the opportunity to contribute. I like modAL and if I can further help in any way please feel free to contact me!

I would recommend this paper: [Deep Bayesian Active Learning with Image Data](https://arxiv.org/abs/1703.02910) I tried to reproduce their results using modAL and it s not working so far but I think...

The difference is that with a deterministic neural network the entropy would be: With the dropout approximation, the probabilities produced by the stochastic network are averaged over the weights, they...