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[LifeSci] Move to Independent Repo (dmlc#1592)
* Move LifeSci * Remove doc
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README.md

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@@ -24,7 +24,7 @@ DGL is an easy-to-use, high performance and scalable Python package for deep lea
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## Using DGL
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**A data scientist** may want to apply a pre-trained model to your data right away. For this you can use DGL's [Application packages, formally *Model Zoo*](https://github.com/dmlc/dgl/tree/master/apps). Application packages are developed for domain applications, as is the case for [DGL-LifeScience](https://github.com/dmlc/dgl/tree/master/apps/life_sci). We will soon add model zoo for knowledge graph embedding learning and recommender systems. Here's how you will use a pretrained model:
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**A data scientist** may want to apply a pre-trained model to your data right away. For this you can use DGL's [Application packages, formally *Model Zoo*](https://github.com/dmlc/dgl/tree/master/apps). Application packages are developed for domain applications, as is the case for [DGL-LifeScience](https://github.com/awslabs/dgl-lifesci). We will soon add model zoo for knowledge graph embedding learning and recommender systems. Here's how you will use a pretrained model:
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```python
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from dgllife.data import Tox21
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from dgllife.model import load_pretrained
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- [TensorFlow](https://github.com/dmlc/dgl/tree/master/examples/tensorflow)
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### DGL for domain applications
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- [DGL-LifeSci](https://github.com/dmlc/dgl/tree/master/apps/life_sci), previously DGL-Chem
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- [DGL-LifeSci](https://github.com/awslabs/dgl-lifesci), previously DGL-Chem
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- [DGL-KE](https://github.com/awslabs/dgl-ke)
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- DGL-RecSys(coming soon)
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apps/life_sci/CONTRIBUTORS.md

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apps/life_sci/Jenkinsfile

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apps/life_sci/LICENSE

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