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  1. A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

    Python 191 46

  2. A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

    Jupyter Notebook 143 31

  3. This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

    Jupyter Notebook 30 9

  4. binary-VAE Public

    A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

    Python 17 3

  5. A collection of tools for neural compression enthusiasts.

    Python 291 23

  6. Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

    Python 82 8

2 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

November 2022

Reviewed 1 pull request in 1 repository
facebookresearch/NeuralCompression 1 pull request

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