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1. Algorithmic-Trader Algorithmic-Trader Public

   Using Random Forests to exploit the correlation between the current prices/volume of stocks and their future prices/volumes. Backtesting on S&P500 stock data in the years 2019-2021.

   Python

2. Recommender-System_Qworky-Unicef Recommender-System_Qworky-Unicef Public

   Forked from notreallyaperson/unicefWeb

   An unsupervised probabilistic machine learning model (LDA) with a scalable inference method (SVI) used to create a recommender-like system for natural language processing.

   JavaScript

3. Combinatorial-Optimisation-using-Group-Theory Combinatorial-Optimisation-using-Group-Theory Public

   Applying group theoretic optimisations to speed up the computation of God's Number of the Pocket Cube, i.e., the eccentricity of the solved configurations in its Cayley Graph.

   Python

4. Deep-Learning--Two-Streamed-Convolutional-Neural-Networks Deep-Learning--Two-Streamed-Convolutional-Neural-Networks Public

   Replicating a deep learning paper on 'Environmental Sound Classification using CNN' by Su et al., which uses two streams of CNNs with decidion-level fusion.

   Python 1

5. 2D-Stencil-Code-Optimisation 2D-Stencil-Code-Optimisation Public

   Applying serial and parallel optimisations to code written in C.