Tags: markovmodel/deeptime
Tags
tae-benchmarks (#10) * [tae] adding benchmark pipeline notebook * [tae] replace lat_activation by standard usage of activation * [tae] remove batch_normalization without replacement * [tae] merge models.BaseAE into models.AE * [tae] switch to HE initialization * [tae] replace activation by alpha parameter for automatic (Leaky)ReLU usage and HE initialization * [tae] cleaning up * [tae] refactoring network setup, encode(), and decode() * [tae] minor bugfix * [tae] make use of pinned memory for cuda * [tae] minor fix * [tae] rewriting benchmarks.py * [tae] fixing benchmarks * [tae] adding support for block sampling * [tae] fix * [tae] fix * switching GPL to LGPL * [tae] added docstrings to benchmark functions * [tae] removing obsolete notebook * [tae] added new example notebook
An API for the time-lagged autoencoder (#6) * [tae] adding tests for a simple API * [tae] adding simple API to provide transformations with a single funcion call * [tae] adding API functions to __init__.py * [tae] adding missing docstring * [tae] typo * [tae] amend example in README * [tae] minor changes * [tae] minor changes * [tae] minor changes * [tae] minor changes
merging tae_release (#5) * [tae] adding citation * [tae] adding pyemma + mdshare references * [tae] amending citation * [vampnet] fixing url * [tae] fixing setup.py * [tae] typo * [tae] amended __init__.py * [tae] added example to README * [tae] typos * [tae] amended the example * [tae] amended the example * [tae] amended the example