quic/aimet-pages

AIMET GitHub pages documentation

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sony/model_optimization

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.

Language: Python - Size: 8.56 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 268 - Forks: 42

quic/aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Language: Python - Size: 13 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 1,937 - Forks: 353

pvtien96/CORING

:ring: Efficient tensor decomposition-based filter pruning

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IntelLabs/distiller 📦

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

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A-suozhang/awesome-quantization-and-fixed-point-training

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

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datawhalechina/leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），冲击万星 ，感谢大家Star :star:！PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Language: Jupyter Notebook - Size: 283 MB - Last synced: 12 days ago - Pushed: 13 days ago - Stars: 9,919 - Forks: 2,555

clovaai/overhaul-distillation

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

Language: Python - Size: 70.3 KB - Last synced: 9 days ago - Pushed: almost 4 years ago - Stars: 410 - Forks: 77

MortalHappiness/ML2019SPRING 📦

Homework for Machine Learning (2019, Spring) at NTU

Language: Python - Size: 440 MB - Last synced: 4 days ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 2

musco-ai/musco-pytorch

MUSCO: MUlti-Stage COmpression of neural networks

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bhheo/AB_distillation

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

Language: Python - Size: 15 MB - Last synced: 9 days ago - Pushed: over 4 years ago - Stars: 103 - Forks: 18

jshilong/FisherPruning

Group Fisher Pruning for Practical Network Compression(ICML2021)

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uber-research/permute-quantize-finetune

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

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ofsoundof/dhp

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

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ofsoundof/group_sparsity

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

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yuxwind/ExactCompression

[NeurIPS 2021] Official PyTorch Code of Scaling Up Exact Neural Network Compression by ReLU Stability

Language: Python - Size: 28.5 MB - Last synced: 28 days ago - Pushed: about 2 years ago - Stars: 7 - Forks: 0

bhheo/BSS_distillation

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

Language: Python - Size: 1.3 MB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 61 - Forks: 11

ofsoundof/learning_filter_basis

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

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musco-ai/musco-tf

MUSCO: Multi-Stage COmpression of neural networks

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cambridge-mlg/arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

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shaharpit809/Deep-Learning-Models

This repository consists of application of Deep Learning Models like DNN, CNN (1D and 2D), RNN (LSTM and GRU) and Variational Autoencoders written from scratch in tensorflow.

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Yifan122/NetworkCompress

pruning

Language: Python - Size: 31.3 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 5 - Forks: 0

maxblumental/network-compression

Language: Jupyter Notebook - Size: 12.5 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 1 - Forks: 1

Hulalazz/Deep-Compression-AlexNet Fork of songhan/Deep-Compression-AlexNet

Deep Compression on AlexNet

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Hulalazz/Embedded-Neural-Network Fork of zssloth/Embedded-Neural-Network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

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