Full Stack Filters

Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
Alternatives To Full Stack Filters
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Efficient Ai Backbones3,722
2 months ago71Python
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Micronet2,155
2 years ago46October 06, 202170mitPython
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Ghostnet.pytorch418
4 years ago6Python
[CVPR2020] GhostNet: More Features from Cheap Operations
Font_recognition Deepfont136
10 months ago5mitJupyter Notebook
Its a implementation of DeepFont : Identify Your Font from An Image using Keras
Versatile Filters79
5 years agon,ullbsd-3-clausePython
Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)
Tf274
4 years ago12apache-2.0Python
An Open Source Deep Learning Inference Engine Based on FPGA
Keras_model_compression55
5 years agoJupyter Notebook
Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
Dlcv2018spring32
4 years ago1apache-2.0Jupyter Notebook
Deep Learning for Computer Vision (CommE 5052) in NTU
Cnn Compression Performance24
4 years ago2Python
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
Full Stack Filters15
5 years agon,ullbsd-3-clausePython
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
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