pawopawo's repositories

18663_Project_FBNet

Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)

Language:CSSLicense:MITStargazers:1Issues:1Issues:0

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

License:MITStargazers:1Issues:0Issues:0

Awesome-Pruning

A curated list of neural network pruning resources.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bananas

Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0
Language:PythonLicense:MITStargazers:1Issues:1Issues:0

EDNAS

Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling (EDNAS)

Language:PythonStargazers:1Issues:1Issues:0

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

FBNet

reproduction of the article

Language:PythonStargazers:1Issues:1Issues:0

GAN-pruning

A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).

Language:PythonLicense:BSD-3-ClauseStargazers:1Issues:1Issues:0

gate-decorator-pruning

Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:1Issues:0

haq-release

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0
Language:PythonStargazers:1Issues:1Issues:0

MachineLearning

Machine learning resources,including algorithm, paper, dataset, example and so on.

Language:PythonStargazers:1Issues:1Issues:0

NAS-Projects

Several neural architecture search (NAS) algorithms implemented in PyTorch.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Language:C++License:NOASSERTIONStargazers:1Issues:1Issues:0
Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

Language:PythonStargazers:1Issues:1Issues:0

oneshot_nas

Single Path One Shot NAS MXNet implementation with block selecting and channel selecting.

Language:PythonStargazers:1Issues:1Issues:0

onnx-simplifier

Simplify your onnx model

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

ProxylessNAS-1

Reproducing the ProxylessNAS approach and making some improvements (ongoing)

Language:PythonStargazers:1Issues:1Issues:0

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

pytorch-OpCounter

Count the FLOPs of your PyTorch model.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

Pytorch-Single-Path-One-Shot-NAS

Single Path One-Shot NAS MXNet implementation with Supernet training and searching

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Language:PythonLicense:NOASSERTIONStargazers:1Issues:1Issues:0

Single-Path-NAS-PyTorch

PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"

Language:PythonStargazers:1Issues:1Issues:0

slimmable_networks

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

Language:PythonLicense:NOASSERTIONStargazers:1Issues:1Issues:0

yolov3-channel-and-layer-pruning

yolov3 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏

Language:PythonStargazers:1Issues:1Issues:0