refactor: replace Anaconda to Miniconda

joe-nano · Mar 28, 2020 · b7f5dbe · b7f5dbe
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diff --git a/examples/tutorials/01_The_Basic_Tools_of_the_Deep_Life_Sciences.ipynb b/examples/tutorials/01_The_Basic_Tools_of_the_Deep_Life_Sciences.ipynb
diff --git a/examples/tutorials/02_Learning_MNIST_Digit_Classifiers.ipynb b/examples/tutorials/02_Learning_MNIST_Digit_Classifiers.ipynb
diff --git a/examples/tutorials/03_Modeling_Solubility.ipynb b/examples/tutorials/03_Modeling_Solubility.ipynb
diff --git a/examples/tutorials/04_Introduction_to_Graph_Convolutions.ipynb b/examples/tutorials/04_Introduction_to_Graph_Convolutions.ipynb
diff --git a/examples/tutorials/05_Putting_Multitask_Learning_to_Work.ipynb b/examples/tutorials/05_Putting_Multitask_Learning_to_Work.ipynb
diff --git a/examples/tutorials/06_Going_Deeper_on_Molecular_Featurizations.ipynb b/examples/tutorials/06_Going_Deeper_on_Molecular_Featurizations.ipynb
diff --git a/examples/tutorials/07_Uncertainty_In_Deep_Learning.ipynb b/examples/tutorials/07_Uncertainty_In_Deep_Learning.ipynb
diff --git a/examples/tutorials/08_Introduction_to_Model_Interpretability.ipynb b/examples/tutorials/08_Introduction_to_Model_Interpretability.ipynb
diff --git a/examples/tutorials/09_Creating_a_high_fidelity_model_from_experimental_data.ipynb b/examples/tutorials/09_Creating_a_high_fidelity_model_from_experimental_data.ipynb
diff --git a/examples/tutorials/12_Predicting_Ki_of_Ligands_to_a_Protein.ipynb b/examples/tutorials/12_Predicting_Ki_of_Ligands_to_a_Protein.ipynb
diff --git a/examples/tutorials/14_Modeling_Protein_Ligand_Interactions_With_Atomic_Convolutions.ipynb b/examples/tutorials/14_Modeling_Protein_Ligand_Interactions_With_Atomic_Convolutions.ipynb
diff --git a/examples/tutorials/15_Synthetic_Feasibility_Scoring.ipynb b/examples/tutorials/15_Synthetic_Feasibility_Scoring.ipynb
diff --git a/examples/tutorials/16_Conditional_Generative_Adversarial_Networks.ipynb b/examples/tutorials/16_Conditional_Generative_Adversarial_Networks.ipynb
diff --git a/examples/tutorials/17_Training_a_Generative_Adversarial_Network_on_MNIST.ipynb b/examples/tutorials/17_Training_a_Generative_Adversarial_Network_on_MNIST.ipynb
diff --git a/examples/tutorials/WIP_20_Converting_DeepChem_Models_to_TensorFlow_Estimators.ipynb b/examples/tutorials/WIP_20_Converting_DeepChem_Models_to_TensorFlow_Estimators.ipynb