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@HIPS

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

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

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  1. autograd autograd Public

    Efficiently computes derivatives of NumPy code.

    Python 7.2k 912

  2. Spearmint Spearmint Public

    Spearmint Bayesian optimization codebase

    Python 1.6k 329

  3. neural-fingerprint neural-fingerprint Public

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

    TeX 498 158

  4. hypergrad hypergrad Public

    Exploring differentiation with respect to hyperparameters

    Python 294 71

  5. Kayak Kayak Public

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

    Python 228 31

  6. Probabilistic-Backpropagation Probabilistic-Backpropagation Public

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

    C 192 63

Repositories

Showing 10 of 21 repositories
  • autograd Public

    Efficiently computes derivatives of NumPy code.

    Python 7,200 MIT 912 164 (1 issue needs help) 22 Updated Mar 19, 2025
  • pgmult Public

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

    Python 61 MIT 22 4 1 Updated Jan 7, 2021
  • Spearmint Public

    Spearmint Bayesian optimization codebase

    Python 1,554 329 57 20 Updated Dec 27, 2019
  • Probabilistic-Backpropagation Public

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

    C 192 BSD-3-Clause 63 1 0 Updated Feb 12, 2019
  • neural-fingerprint Public

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

    TeX 498 MIT 158 4 0 Updated Jan 23, 2018
  • hips-lib Public

    Library of common tools for machine learning research.

    Python 41 13 0 1 Updated Nov 20, 2017
  • Kayak Public

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

    Python 228 MIT 31 8 1 Updated Aug 22, 2017
  • molecule-autoencoder Public

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

    Python 155 51 7 0 Updated Mar 17, 2017
  • firefly-monte-carlo Public

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

    Python 32 MIT 21 0 0 Updated Apr 27, 2016
  • DESI-MCMC Public

    MCMC for the Dark Energy Spectroscopic Instrument

    Jupyter Notebook 13 7 0 0 Updated Apr 27, 2016
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