AnjieCheng/MnasNet-PyTorch

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Created about 6 years ago
Updated about 6 years ago

AnjieCheng/MnasNet-PyTorch

AnjieCheng

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A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

Overview

A PyTorch implementation of Mnasnet searched architecture: MnasNet: Platform-Aware Neural Architecture Search for Mobile. On the ImageNet classification task, the model achieves 74.0% top-1 accuracy with 76ms latency on a Pixel phone, which is 1.5× faster than MobileNetV2

MnasNet Architecture

Disclaimer

Codes modified from mobilenet-v2

InstaNAS

⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search

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A curated list of awesome multi-objective optimization research resources.

TUVF

[ICLR'24] This repository is the implementation of "TUVF: Learning Generalizable Texture UV Radiance Fields"

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A PyTorch implementation of MobileNetV3

OctaveConv-Pytorch

An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

CanonicalVAE

[ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".

CanonicalPAE

[NeurIPS'21] Learning 3D Dense Correspondence via Canonical Point Autoencoder

Jupyter Notebook

Fast-ImageNet-Dataloader

A fast data loader for ImageNet on PyTorch.

uvgraf

vimrc

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An implementation of "Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS" using R language.