Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Efficient Ai Backbones | 3,722 | 2 months ago | 71 | Python | ||||||
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab. | ||||||||||
Micronet | 2,155 | 2 years ago | 46 | October 06, 2021 | 70 | mit | Python | |||
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.pytorch | 418 | 4 years ago | 6 | Python | ||||||
[CVPR2020] GhostNet: More Features from Cheap Operations | ||||||||||
Font_recognition Deepfont | 136 | 10 months ago | 5 | mit | Jupyter Notebook | |||||
Its a implementation of DeepFont : Identify Your Font from An Image using Keras | ||||||||||
Versatile Filters | 79 | 5 years ago | n,ull | bsd-3-clause | Python | |||||
Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018) | ||||||||||
Tf2 | 74 | 4 years ago | 12 | apache-2.0 | Python | |||||
An Open Source Deep Learning Inference Engine Based on FPGA | ||||||||||
Keras_model_compression | 55 | 5 years ago | Jupyter 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" | ||||||||||
Dlcv2018spring | 32 | 4 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
Deep Learning for Computer Vision (CommE 5052) in NTU | ||||||||||
Cnn Compression Performance | 24 | 4 years ago | 2 | Python | ||||||
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 Filters | 15 | 5 years ago | n,ull | bsd-3-clause | Python | |||||
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs |