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《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Created
2019-07-02
584 commits to master branch, last one 2 days ago
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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Created
2018-04-24
643 commits to master branch, last one about a year ago
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Created
2020-04-21
2,305 commits to develop branch, last one 22 hours ago
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers adva...
Created
2021-06-21
1,282 commits to main branch, last one 5 hours ago
Group Fisher Pruning for Practical Network Compression(ICML2021)
Created
2021-05-14
6 commits to main branch, last one about a year ago
Using ideas from product quantization for state-of-the-art neural network compression.
Created
2020-10-23
6 commits to main branch, last one 3 years ago
MUSCO: MUlti-Stage COmpression of neural networks
Created
2019-05-08
59 commits to master branch, last one 3 years ago
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
Created
2020-03-14
19 commits to master branch, last one 2 years ago
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
Created
2020-03-30
23 commits to master branch, last one 2 years ago