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11 search results found

Model_optimization ⭐ 245

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 advanced quantization and compression tools for deploying state-of-the-art neural networks.

Overhaul Distillation ⭐ 181

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Fisherpruning ⭐ 137

Group Fisher Pruning for Practical Network Compression(ICML2021)

Permute Quantize Finetune ⭐ 79

Using ideas from product quantization for state-of-the-art neural network compression.

Ab_distillation ⭐ 78

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Bss_distillation ⭐ 45

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Group_sparsity ⭐ 45

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

Learning_filter_basis ⭐ 14

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019

Deep Network Compression Based On Student Teacher Network ⭐ 10

Deep Neural Network Compression based on Student-Teacher Network

MUSCO: Multi-Stage COmpression of neural networks

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