Project | Descrption | Images | Status | Code status |
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Social distancing simulator | Simulating disease spread in a graph-based model that allows agent interaction. | Active | ||
Reinforcement learning using Keras | Building various reinforcement learning approaches from scratch in Keras and Tensorflow 2.3. | Active | ||
Multisensory integration models | Comparing possible mechanisms of multisensory integration in the mammalian brain using deep neural networks. | Backburner | ||
AudioDAG | Lazy, DAG based stimulus builder for psychophysics stimuli. Not just for audio. | Backburner | ||
PsychometricCurveFitting | Psychometric curve fitting for MATLAB and Python. | Backburner | ||
Microservices for Sklearn models | Playing with REST/GRPC/Minio/Docker/Kubernetes, etc. to build basic microservices hosting Sklearn models. | Backburner | ||
IncrementalTrees | Out-of-core fitting of Sklearn forest models using Dask. | Inactive | ||
Epileptic Seizure prediction | Predicting epileptic seizures in humans using machine learning and EEG data. Publications: Brain, Epilepsia, Kaggle blog, Mathworks blog | Completed | ||
Drift diffusion modelling | Decision modelling using drift multi-channel drift diffusion models with dynamic decision boundaries, adaptation, etc. | Inactive | ||
Integer sequence learning | Predicting integer sequence functions from few examples. Publications: Kaggle blog | Completed |
Ex-experimental neuroscientist, now Data Scientist at Monolith AI.
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Monolith AI
- London
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social-distancing-sim
social-distancing-sim PublicSimulating the effect of social distancing on disease spread through a population graph.
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IncrementalTrees
IncrementalTrees PublicAdds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.
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Kaggle-EEG
Kaggle-EEG PublicSeizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
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reinforcement-learning-keras
reinforcement-learning-keras PublicReinforcement learning algorithms implemented in Keras (tensorflow==2.3) and sklearn
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