Update README.md

README.md

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 # domain-invariant-learning
 python 3.9.7  
 ![dann](/make_moons_experiemnt_dann.png) ![without_adapt](/make_moons_experiment_withoutadapt.png)
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 ## algo/
 implementations of domain invariant learning algo.
 |file name|note|
@@ -14,13 +13,11 @@ implementations of experiment workflow (data load, preprocess, init NN, training
 |dir name|data|execution|
 |---|---|---|
 |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`<br>run all cells of 01.ipynb - 05.ipynb<br>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<br>run all cells of 01.ipynb - 05.ipynb<br>python -m domain-invariant-learning.experiments.ecodataset_synthetic.experiment|
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+|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`<br>`run all cells of 01.ipynb - 05.ipynb`<br>`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`<br>`run all cells of 01.ipynb - 05.ipynb`<br>`python -m domain-invariant-learning.experiments.ecodataset_synthetic.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.
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 ## utils/
 Definition of generic functions to be called in multiple locations within the above dir structure.