Ecosyste.ms: Repos
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Package Usage: pypi: kabuki
kabuki is a python toolbox that allows easy creation of hierarchical bayesian models for the cognitive sciences.
32 versions
Latest release: about 1 year ago
354 downloads last month
View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/kabuki
View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/hddm-devs%2Fkabuki
Dependent Repos 8
hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 200 MB - Last synced: 26 days ago - Pushed: about 1 month ago
hauselin/hddm_setup 📦
set up and test hddm in python- ==0.6.2 environments/environment.yaml
- ==0.6.2 environments/requirements.txt
Size: 72.3 KB - Last synced: 13 days ago - Pushed: over 3 years ago
MatildeVaghi/expfactory-analysis
- * requirements.txt
- * setup.py
Size: 191 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago
AlexanderFengler/hddmnn_tutorial
Code for a Tutorial on using the Neural Network Extension of HDDM- * data_storage/hddm-nn_likelihood/setup.py
Size: 121 MB - Last synced: 4 months ago - Pushed: over 1 year ago
nxwi/illacceptanything Fork of illacceptanything/illacceptanything
The project where literally anything* goes.- * data/requirements.txt
Size: 1.33 GB - Last synced: 7 months ago - Pushed: over 1 year ago
illacceptanything/illacceptanything
The project where literally anything* goes.- * data/requirements.txt
Size: 1.47 GB - Last synced: 10 days ago - Pushed: 10 days ago
vishalbelsare/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 195 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
ntchambers/illacceptanything
The project where literally anything* goes- * requirements.txt
Last synced: over 1 year ago
lenovor/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 14.8 MB - Last synced: about 1 year ago - Pushed: over 8 years ago
serre-lab/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 3.25 MB - Last synced: about 2 months ago - Pushed: almost 12 years ago
TheBearodactyl/illacceptanything Fork of illacceptanything/illacceptanything
The project where literally anything* goes.- * data/requirements.txt
Size: 1.33 GB - Last synced: 10 months ago - Pushed: 10 months ago
hcp4715/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 196 MB - Last synced: 29 days ago - Pushed: about 1 month ago
braillescreen/illacceptanything Fork of illacceptanything/illacceptanything
The project where literally anything* goes.- * data/requirements.txt
Size: 1.47 GB - Last synced: 9 months ago - Pushed: about 1 year ago
boginw/illacceptanything Fork of illacceptanything/illacceptanything
The project where literally anything* goes.- * data/requirements.txt
Size: 1.33 GB - Last synced: about 1 month ago - Pushed: 9 months ago
igrahek/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 199 MB - Last synced: 9 months ago - Pushed: 11 months ago
panwanke/hddm Fork of hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).- * setup.py
Size: 196 MB - Last synced: 3 months ago - Pushed: 3 months ago