Cunningham Group at Columbia University
statistical machine learning, artificial intelligence, and computational neuroscience
New York, NY
Pinned Repositories
_neurolib_deprecated
A library for neuroscientists by neuroscientists
AugCoDa
Data Augmentation for Compositional Data
cb_and_cc
cyclic-gps
Cyclic Reduction for Gaussian Processes and beyond.
epi
Emergent property inference.
igr
neurocaas
IaC codebase for the NeuroCAAS Platform
neurocaas_contrib
Repo to help develop on AMIs associated with NeuroCAAS
RTGPS
SocialBehaviors
Cunningham Group at Columbia University's Repositories
cunningham-lab/cb_and_cc
cunningham-lab/neurocaas
IaC codebase for the NeuroCAAS Platform
cunningham-lab/igr
cunningham-lab/epi
Emergent property inference.
cunningham-lab/RTGPS
cunningham-lab/SocialBehaviors
cunningham-lab/AugCoDa
Data Augmentation for Compositional Data
cunningham-lab/neurocaas_contrib
Repo to help develop on AMIs associated with NeuroCAAS
cunningham-lab/_neurolib_deprecated
A library for neuroscientists by neuroscientists
cunningham-lab/cyclic-gps
Cyclic Reduction for Gaussian Processes and beyond.
cunningham-lab/drs
cunningham-lab/ncap_local
Local dev tools for ncap.
cunningham-lab/codacore
This repo contains the code for reproducing the results from our paper "Learning Sparse Log-Ratios"
cunningham-lab/dsn
Degenerate solution networks
cunningham-lab/efn
Trains exponential family networks (EFNs) to approximate exponential family models.
cunningham-lab/git_template
This is an importable template repo setup with a gitpage, packaging, unit testing, and continuous integration.
cunningham-lab/group_resources
Shared resources for the zebroid group.
cunningham-lab/hipgp
Codes for AITSTATS paper: Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
cunningham-lab/monotonic-flds
cunningham-lab/neurocaas_cli
WIP cli for neurocaas.
cunningham-lab/neurocaas_ensembles
Ensembling pose trackers on NeuroCAAS.
cunningham-lab/tf_util
Tensorflow code used across multiple projects such as exponential family classes and normalizing flows.