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1. CausalBootstrapping CausalBootstrapping Public

   CausalBootstrapping is an easy-access implementation and extention of causal bootstrapping (CB) technique for causal analysis. With certain input of observational data, causal graph and variable di…

   Jupyter Notebook 3

2. PFFRA PFFRA Public

   An Interpretable Machine Learning technique to analyse the contribution of features in the frequency domain. This method is inspired by permutation feature importance analysis but aims to quantify …

   Jupyter Notebook 7

3. max-little/GRAPL max-little/GRAPL Public

   GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

   Python 79 16

4. mechanism-learn mechanism-learn Public

   Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, de…

   Jupyter Notebook 2

5. Real-time-Vision-based-Sign-Language-Recognition-System Real-time-Vision-based-Sign-Language-Recognition-System Public

   My undergraduate Final Year Project awarded as the Excellent Bachelor's Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently c…

   Python 16 3