garethjns / ml-benchmarks

Projects

Project	Descrption	Images	Status	Code status
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