Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton
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- Princeton University, Princeton, NJ
- https://lips.cs.princeton.edu
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neural-fingerprint
neural-fingerprint PublicConvolutional nets which can take molecular graphs of arbitrary size as input.
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Probabilistic-Backpropagation
Probabilistic-Backpropagation PublicImplementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
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- Probabilistic-Backpropagation Public
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
HIPS/Probabilistic-Backpropagation’s past year of commit activity - neural-fingerprint Public
Convolutional nets which can take molecular graphs of arbitrary size as input.
HIPS/neural-fingerprint’s past year of commit activity - Kayak Public
Kayak is a library for automatic differentiation with applications to deep neural networks.
HIPS/Kayak’s past year of commit activity - molecule-autoencoder Public
A project to enable optimization of molecules by transforming them to and from a continuous representation.
HIPS/molecule-autoencoder’s past year of commit activity - firefly-monte-carlo Public
Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
HIPS/firefly-monte-carlo’s past year of commit activity
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