Comments (2)
LNN is implemented in the rmi R package.
from bmi.
We added the estimators from the rmi
library.
from bmi.
Related Issues (20)
- Principled approach to handling NaNs HOT 1
- Benchmark versioning
- Improve the documentation
- Add difference of cross-entropies estimator
- Add the tasks based on fine distributions
- Add dropout to neural estimators
- Inconsistent `.mutual_information` method HOT 1
- Rename fine distributions to BMMs
- Allow for Python 3.11 and 3.12
- Changes to the manuscript HOT 2
- JointDistribution wraps and unwraps X and Y HOT 1
- Add the documentation on the GMM-based estimator
- Rename `JointDistribution` to `BendAndMixModel`
- Implement a (hidden) Markov model
- What is motivation of choosing JAX as basis? HOT 4
- Implement early stopping for neural estimators HOT 1
- Update github readme HOT 1
- Clean up imports HOT 1
- Minibenchmarks HOT 1
- Error raised during smoothing if training is too short
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from bmi.