Pinned Repositories
compsy
Computational Methods in Psychology and Neuroscience
cutools
Various tools to help writing and interacting with CUDA kernels.
DeepSITH
desolver
Genetic function optimization via differential evolution in Python.
ptsa
Python Time Series Analysis (PTSA, pronounced "pizza")
QuantCog
Introduction to Quantified Cognition
RunDEMC
Python library for running DEMC on hierarchical models.
SITH_Layer
SITHCon
smile
State Machine Interface Library for Experiments
Computational Memory Lab's Repositories
compmem/ptsa
Python Time Series Analysis (PTSA, pronounced "pizza")
compmem/compsy
Computational Methods in Psychology and Neuroscience
compmem/QuantCog
Introduction to Quantified Cognition
compmem/smile
State Machine Interface Library for Experiments
compmem/DeepSITH
compmem/cutools
Various tools to help writing and interacting with CUDA kernels.
compmem/desolver
Genetic function optimization via differential evolution in Python.
compmem/RunDEMC
Python library for running DEMC on hierarchical models.
compmem/SITHCon
compmem/SITH_Layer
compmem/MELD
Mixed Effects models for Large Datasets
compmem/psyqt
Python library for making psychology experiments with Qt
compmem/cognax
Build, fit, and sample from cognitive models with JAX + NumPyro.
compmem/spamr
Mixture regression models for NumPyro.
compmem/SUPREME
compmem/RDM-CW
Random dot motion, Chuiwen experiment version.
compmem/cogmood
Public Facing SUPREME MOOD repo
compmem/lace
A probabalistic ML tool for science
compmem/Nielson.Sederberg.2017.PLOSOne.MELD
Data and code for Nielson & Sederberg (2017, PLOSOne)
compmem/nilearn
Machine learning for NeuroImaging in Python
compmem/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
compmem/QuantCogUnleashed
Introduction to Quantified Cognition: Rewritten for JAX and NumPyro
compmem/scikit-learn
scikit-learn: machine learning in Python
compmem/Sreekumar.etal.2018
Code used in the analyses for Sreekumar et al. 2018