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admm-neuralnetworks

Training Neural Networks Without Gradients: A ADMM Approach

admm-nn

admmirnn

ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach

atmc

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

awesome-pruning

A curated list of neural network pruning resources.

compress-modern-cnns

prune deep neutral networks by ADMM method

dctnet

docker

energy_constrained_compression

Code for paper "ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model"

google-research

Google Research

hsic-bottleneck

legr

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"

low-bit-quant-admm

admm for cnn layerwise weight low bit quantization

lucydockerfile

meta-pseudo-label

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pruning-admm

robustness-aware-pruning-admm

Code release for "Adversarial Robustness vs Model Compression, or Both?"

slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

soft-filter-pruning

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

xuexi.cn

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