davindicode
Machine learning and neuroscience at University of Cambridge
University of CambridgeCambridge, UK
Pinned Repositories
datathon
cosyne-2023-generative-models
Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
davindicode.github.io
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
nonparametric-nonrenewal-process
We present a flexible modulated point process model for characterising variability in non-stationary neural spike train data.
universal-count-model
We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.
BitBuster
Hack Cambridge Avast Challenge
mgplvm-pytorch
aihack2020-shell-challenge
normalizing-flows
PyTorch implementation of normalizing flow models
davindicode's Repositories
davindicode/cosyne-2023-generative-models
Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
davindicode/nonparametric-nonrenewal-process
We present a flexible modulated point process model for characterising variability in non-stationary neural spike train data.
davindicode/universal-count-model
We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.
davindicode/davindicode.github.io
davindicode/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.