Zhen-Dong / HAWQ

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

Date Created 2020-11-24 (4 years ago)

Commits 48 (last one about a year ago)

Stargazers 422 (0 this week)

Watchers 15 (0 this week)

Forks 82

License mit

Ranking

RepositoryStats indexes 609,829 repositories, of these Zhen-Dong/HAWQ is ranked #105,428 (83rd percentile) for total stargazers, and #147,013 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #17,829/123,022.

Zhen-Dong/HAWQ is also tagged with popular topics, for these it's ranked: pytorch (#1,559/6098), model-compression (#29/108)

Other Information

Zhen-Dong/HAWQ has Github issues enabled, there are 26 open issues and 16 closed issues.

All Topics

tvm 4-bit 8-bit hessian pytorch tensorcore distillation quantization hardware-aware mixed-precision model-compression efficient-neural-networks quantized-neural-networks

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7 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2025-01-11 @ 07:41pm, id: 315530902 / R_kgDOEs6elg