666DZY666 / micronet

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

Date Created 2019-12-04 (5 years ago)

Commits 295 (last one 3 years ago)

Stargazers 2,230 (0 this week)

Watchers 40 (0 this week)

Forks 477

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RepositoryStats indexes 630,459 repositories, of these 666DZY666/micronet is ranked #23,959 (96th percentile) for total stargazers, and #53,114 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,769/128,655.

666DZY666/micronet is also tagged with popular topics, for these it's ranked: pytorch (#435/6208), onnx (#47/375), model-compression (#9/108)

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666DZY666/micronet has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

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bnn twn onnx dorefa pruning pytorch tensorrt xnor-net quantization network-slimming group-convolution model-compression network-in-network tensorrt-int8-python convolutional-networks neuromorphic-computing integer-arithmetic-only batch-normalization-fuse post-training-quantization quantization-aware-training

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updated: 2025-03-19 @ 06:01pm, id: 225904037 / R_kgDODXcFpQ