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Deep-Learning-For-SC
Deep-Learning-For-SC PublicThesis code for the MSc in Computing at Imperial dissertation.
Jupyter Notebook
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TVB_WBM_BayesianOptimization
TVB_WBM_BayesianOptimization PublicCode that uses custom data to explore six different whole-brain models, using the TVB library. We find the optimal parameters for each using Bayesian Optimization, and compare the models' performan…
Jupyter Notebook
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DQN_DDQN
DQN_DDQN PublicHyperparameter optimization of a Deep Q-Network, as well as tranformation into DDQN
Jupyter Notebook
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Policy_Control_Algorithms
Policy_Control_Algorithms PublicExploring Dynamic Program, Monte Carlo, and TD agents in an RL setting.
Python
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Decision_Trees
Decision_Trees PublicWorking with Decision Trees on a noisy dataset
Jupyter Notebook 1
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mml-autumn-2022
mml-autumn-2022 PublicForked from markvdw/mml-autumn-2022
Materials for Autumn 2022 Mathematics for Machine Learning course.
HTML
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