From cbfeac3485d92e90b7210cf9f3a220adfd2af6fa Mon Sep 17 00:00:00 2001 From: yu Date: Mon, 10 Jun 2024 14:46:14 +0900 Subject: [PATCH] Update README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index cdb63f56..fcd81211 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ python 3.9.7 ![dann](/make_moons_experiemnt_dann.png) ![without_adapt](/make_moons_experiment_withoutadapt.png) ## algo/ implementations of domain invariant learning algo. +--algo_name can switch them. |file name|note| |---|---| |algo.py|DANN algo https://arxiv.org/pdf/1505.07818| @@ -15,6 +16,9 @@ implementations of experiment workflow (data load, preprocess, init NN, training |make_moons|https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html|`python -m domain-invariant-learning.experiments.make_moons.experiment`| |ecodataset|https://vs.inf.ethz.ch/res/show.html?what=eco-data|`git clone https://github.com/oh-yu/deep_occupancy_detection/tree/feature/JSAI`
`run all cells of 01.ipynb - 05.ipynb`
`python -m domain-invariant-learning.experiments.ecodataset_synthetic.experiment`| |ecodataset_synthetic|see experiment.py logic|`git clone https://github.com/oh-yu/deep_occupancy_detection/tree/feature/JSAI`
`run all cells of 01.ipynb - 05.ipynb`
`python -m domain-invariant-learning.experiments.ecodataset_synthetic.experiment`| +|HHAR|https://archive.ics.uci.edu/dataset/344/heterogeneity+activity+recognition|`download data`
`python -m domain-invariant-learning.experiments.HHAR.experiment`| +|MNIST|https://github.com/mashaan14/MNIST-M/tree/main|`download data`
`python -m domain-invariant-learning.experiments.MNIST.experiment`| + ## networks/ implementations of networks which include layers, fit method, predict method, predict_proba method. Domain Invariant Laerning and Without Adapt and Train on Target related free params should be set here.