twiecki/pymc-mixing-movies
Demonstration of how different step methods mix in PyMC
Discovered public repositories for twiecki in the GitHub catalog.
Demonstration of how different step methods mix in PyMC
package management tool
build and test recipes for conda
Bayesian Analysis in PyMC3.
Tutorial on multilevel modeling, using Gelman radon example
Drafts for new Quantopian features.
Personal blog raw files.
A python wrapper for Barnes-Hut tsne
Bayesian data analysis with PyMC(2)
Financial Analysis in Python tutorial
Distributed Asynchronous Hyperparameter Optimization in Python
Replication of "Quantifying Trading Behavior in Financial Markets Using Google Trends" by Preis et al 2013
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Sparse matrix tools extending scipy.sparse, but with incompatible licenses
IPython NB slides of my PyData'13 talk.
Hierarchical Bayesian QLearning models
Experimental code to simulate drift processes on the GPU using PyCUDA and THRUST (via CodePy).
Public repository.
Simulation code for the paper "A computational model of inhibitory control in frontal cortex and basal ganglia."
Specify, run, and analyze emergent experiments in Python.
Python wrapper to the DIRECT global optimization algorithm (forked from http://code.google.com/p/pydirect/source/browse)
NumPy aware dynamic Python compiler using LLVM
mpi4py_map provides a simple map() interface to mpi4py that allows easy parallelization of function evaluations over sequential input.
Cython interface for the GNU Scientific Library (GSL).
Hierarchical stop-signal model (Matzke et al, 2011) that allows estimation of SSRT and SSRT variability.
Bayesian inference in Python