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  1. Tutorial_BayesianCompressionForDL Tutorial_BayesianCompressionForDL Public

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

    Python 206 49

  2. Tutorial-SoftWeightSharingForNNCompression Tutorial-SoftWeightSharingForNNCompression Public

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

    Jupyter Notebook 146 32

  3. Pytorch-Backprojection Pytorch-Backprojection Public

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

    Jupyter Notebook 37 10

  4. facebookresearch/NeuralCompression facebookresearch/NeuralCompression Public archive

    A collection of tools for neural compression enthusiasts.

    Python 576 52

  5. YannDubs/lossyless YannDubs/lossyless Public

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

    Python 119 11

  6. facebookresearch/Exact-Byte-Level-Probabilities-from-Tokenized-LMs facebookresearch/Exact-Byte-Level-Probabilities-from-Tokenized-LMs Public

    Example implementation of "Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles" by Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew Muckley, and …

    Python 15 2