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    Jupyter Notebook
  • Created almost 4 years ago
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Repository Details

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1

GeoSpatial_analysis

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2

Kidney_Vessels_BGT

Kidney branching vessels modeled with BondGraphTools
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3

BondGraphTools_Biochemical_Reactions

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4

AnnotationBased_modelIntegration

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5

ADAN-86-Bond-Graph-Model-Composition

Hierarchical semantic composition of biosimulation models using bond graphs
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Baby_Circulatory_SemGen_Merge_10

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7

Tune_Optimize_backpropagation

Tuning the back propagation by changing the batch size, learning rate, and optimizer.
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8

BondGraphTools_Sample_Circuits

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9

Modularity_Branching_Vessel_Functions

Changes have been made to split the whole function into sub-functions
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10

flatmapToCellmlAndJson

A Jupyter Notebook to generate a CellML file for the selected structures in the Generic Cell Flatmap
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11

RNN-stock-price-predict

Using an RNN network to predict the stock price based on a given trend.
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12

LSTM_Forecasting_Loads

Using LSTM to find the patterns in data and forecast the future data
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13

Annotated_BG_CellML_Modules_Merging_SemGen

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14

Modularity_Branching_Vessel

A function for connecting any number of "branching vessels" together via BondGraphTools
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15

Modularity_Reactions

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16

DCmotor

The antenna drive system
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17

LSTM_Embedding_spam_classification

Using Embedding & LSTM to classify texts to spam/ham.
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18

Deep_learning_Tune_Optimize

Setting up a configuration function to tune & optimize the Neural Networks.
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19

static_website_Jlab

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20

Cardiac_AP_3_channels

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21

Overfitting_Fix_ANN

Manage overfitting in neural networks by Regularization & Dropout
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22

Regresion_DecisionTree

Using Decision Trees for regression.
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23

Jupyter_website

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24

Na_K_ATPase_pump

Na+/K+ ATPase Pump model originally created by Michael Pan in CellML format. The equivalent BGT model is provided in this repository
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25

SBMLtoBGs

In this repository I've saved the files and functions required for an automatic conversion of SBML models into Bond Graphs (BGs)
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26

Niloofar-Sh

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27

Classification_DecisionTree

Using Decision Trees for classification.
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28

Data_labeling_Snorkel

Using Snorkel in Python to label a dataset of text messages as "Ham" or "Spam".
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29

Tune_Optimise_ANN_root_cause_analysis

Setting up a configuration function to tune & optimize the Neural Networks.
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