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1. Tutorial_BayesianCompressionForDL Tutorial_BayesianCompressionForDL Public

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

   Python 206 48

2. Tutorial-SoftWeightSharingForNNCompression Tutorial-SoftWeightSharingForNNCompression Public

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

   Jupyter Notebook 145 30

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

   A collection of tools for neural compression enthusiasts.

   Python 568 49

5. YannDubs/lossyless YannDubs/lossyless Public

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

   Python 118 10

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 14 2