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Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton photo

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Name: Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton

Type: Organization

Bio: Ryan Adams' research group. Formerly at Harvard, now at Princeton. New Github repositories here: https://github.com/PrincetonLIPS

Location: Princeton University, Princeton, NJ

Blog: https://lips.cs.princeton.edu

Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton's Projects

autograd icon autograd

Efficiently computes derivatives of numpy code.

autopaint icon autopaint

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

desi-mcmc icon desi-mcmc

MCMC for the Dark Energy Spectroscopic Instrument

gpu_numpy icon gpu_numpy

A Numpy wrapper that adds a gpufloat32 dtype to Numpy.

hips-lib icon hips-lib

Library of common tools for machine learning research.

hips.github.io icon hips.github.io

Github page for Harvard Intelligent Probabilistic Systems Group

hypergrad icon hypergrad

Exploring differentiation with respect to hyperparameters

kayak icon kayak

Kayak is a library for automatic differentiation with applications to deep neural networks.

lpickle icon lpickle

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

matrical icon matrical

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

maxwells-daemon icon maxwells-daemon

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

molecule-autoencoder icon molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

optofit icon optofit

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

pgmult icon pgmult

Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation

probabilistic-backpropagation icon probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

trusty_scribe_viewer icon trusty_scribe_viewer

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

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