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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.Matrical
A simple abstraction layer for matrix computations in Python, making it easy to switch between CPU and NVIDIA or Intel coprocessors.Love Open Source and this site? Check out how you can help us