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autograd
Efficiently computes derivatives of NumPy code.Spearmint
Spearmint Bayesian optimization codebaseneural-fingerprint
Convolutional nets which can take molecular graphs of arbitrary size as input.hypergrad
Exploring differentiation with respect to hyperparametersKayak
Kayak is a library for automatic differentiation with applications to deep neural networks.Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.molecule-autoencoder
A project to enable optimization of molecules by transforming them to and from a continuous representation.pgmult
Dependent multinomials made easy: stick-breaking with the Pรณlya-gamma augmentationhips-lib
Library of common tools for machine learning research.author-roulette
LaTeX package for randomizing author order based on a public seed.firefly-monte-carlo
Implementation of an algorithm for Markov chain Monte Carlo with data subsamplingmaxwells-daemon
Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.DESI-MCMC
MCMC for the Dark Energy Spectroscopic InstrumentBayesianStructuredSparsity
Code for performing Bayesian regression with structured sparsity from a Gaussian field.autopaint
Gradient-based variational autoencoders to generate class-conditional natural images.gpu_numpy
A Numpy wrapper that adds a gpufloat32 dtype to Numpy.trusty_scribe_viewer
Website for viewing a git repo as a lab notebook. Figures and text files can be included with markdown-like syntax.optofit
A python framework for fitting biophysical models to optically recorded neural signals.lpickle
Linefeed-delimited pickle for Unix-style piping of arbitrary Python dataLove Open Source and this site? Check out how you can help us