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1. RL-BOED RL-BOED Public

   We investigate several reinforcement learning algorithms on three Bayesian experimental design problems. Performance is measured by each agent's training time and generalisability to various experi…

   Python 4 1

2. neural-network-from-scratch neural-network-from-scratch Public

   We build a neural network from scratch to be trained on the MNIST dataset. We also use PyTorch on a London weather dataset for forecasting daily mean temperatures.

   Jupyter Notebook 1

3. protein-secondary-structure-prediction protein-secondary-structure-prediction Public

   Protein Secondary Structure Prediction (PSSP) using machine learning algorithms.

   Jupyter Notebook

4. tabular-deep-reinforcement-learning tabular-deep-reinforcement-learning Public

   We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.

   Jupyter Notebook 2 1

5. rafipatel/Image-Super-Resolution-using-GANs rafipatel/Image-Super-Resolution-using-GANs Public

   PyTorch implementation of SRResNet and SRGAN for single image super-resolution. Includes training, evaluation, and utility scripts for generating high-resolution images from low-resolution inputs.

   Jupyter Notebook

6. av-node-analysis av-node-analysis Public

   We perform network analysis on the atrioventricular node, and produce a network based on a sampled set of regions on this node.

   Jupyter Notebook