Pinned Repositories
adrians-geotools
CMSIS-NN
CMSIS-NN Library
HelmertTool
ldpc-investigation-master-thesis
Code repo for the master thesis project of Adrian Lundell and Fredrik Blomgren.
PandemicBehaviourModel
.We consider the problem of an agent based model of the relationship between individual decision making and infection spread in an epidemiological setting. By letting agents update their isolation strategy to maximise an expected payoff in a Prisoner's dilemma like manner we embedded temporal correlations between agent behaviour, and agents availability to infection. Furthermore a restriction factor is introduced in the decision making to model factors external to the agent affecting mobility. We first confirm the validity of the model by replicating the dynamics of a standard SIR model with remission; next, we show that the same architecture is capable of representing the more complex behaviours of independent agents and their impact on an infection spread for a finite population.
tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
CMSIS-NN
CMSIS-NN Library
Audio-Recognition
Network for classifying audio as input for a simple game
tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
AdrianLundell's Repositories
AdrianLundell/ldpc-investigation-master-thesis
Code repo for the master thesis project of Adrian Lundell and Fredrik Blomgren.
AdrianLundell/adrians-geotools
AdrianLundell/CMSIS-NN
CMSIS-NN Library
AdrianLundell/HelmertTool
AdrianLundell/PandemicBehaviourModel
.We consider the problem of an agent based model of the relationship between individual decision making and infection spread in an epidemiological setting. By letting agents update their isolation strategy to maximise an expected payoff in a Prisoner's dilemma like manner we embedded temporal correlations between agent behaviour, and agents availability to infection. Furthermore a restriction factor is introduced in the decision making to model factors external to the agent affecting mobility. We first confirm the validity of the model by replicating the dynamics of a standard SIR model with remission; next, we show that the same architecture is capable of representing the more complex behaviours of independent agents and their impact on an infection spread for a finite population.
AdrianLundell/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).