pyhsmm-autoregressive

linearmodels

Additional linear models including instrumental variable and panel data models that are missing f...

maxjoshua

Feature selection for hard voting classifier and NN sparse weight initialization.

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms

variational_autoencoder

kernel_hmc

Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"

svae

code for Structured Variational Autoencoders

bls.py

A reference implementation of box least squares in Python

pyhsmm-factorial

pyhsmm_spiketrains

Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models buil...

pyhsmm

Bayesian inference in HSMMs and HMMs

parametric_modeling

Parametric modelling functions that can be found in MATLAB now in python

recurrent-slds

Recurrent Switching Linear Dynamical Systems

minimc

Just a little MCMC

PySR

High-Performance Symbolic Regression in Python and Julia

theano_pyglm

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-...