HIPS/hips-lib

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Python
Created almost 10 years ago
Updated over 6 years ago

HIPS/hips-lib

HIPS

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Library of common tools for machine learning research.

autograd

Efficiently computes derivatives of numpy code.

Spearmint

Spearmint Bayesian optimization codebase

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

hypergrad

Exploring differentiation with respect to hyperparameters

Kayak

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 Pólya-gamma augmentation

author-roulette

LaTeX package for randomizing author order based on a public seed.

maxwells-daemon

Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.

firefly-monte-carlo

Implementation of an algorithm for Markov chain Monte Carlo with data subsampling

DESI-MCMC

MCMC for the Dark Energy Spectroscopic Instrument

Jupyter Notebook

BayesianStructuredSparsity

Code for performing Bayesian regression with structured sparsity from a Gaussian field.

gpu_numpy

A Numpy wrapper that adds a gpufloat32 dtype to Numpy.

autopaint

Gradient-based variational autoencoders to generate class-conditional natural images.

optofit

A python framework for fitting biophysical models to optically recorded neural signals.

trusty_scribe_viewer

Website for viewing a git repo as a lab notebook. Figures and text files can be included with markdown-like syntax.

lpickle

Linefeed-delimited pickle for Unix-style piping of arbitrary Python data

Matrical

A simple abstraction layer for matrix computations in Python, making it easy to switch between CPU and NVIDIA or Intel coprocessors.