NYU-MLDA / OpenABC

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

Date Created 2021-08-24 (3 years ago)

Commits 74 (last one 3 months ago)

Stargazers 115 (0 this week)

Watchers 1 (0 this week)

Forks 19

License bsd-3-clause

Ranking

RepositoryStats indexes 585,880 repositories, of these NYU-MLDA/OpenABC is ranked #264,612 (55th percentile) for total stargazers, and #536,980 for total watchers. Github reports the primary language for this repository as Verilog, for repositories using this language it is ranked #202/538.

NYU-MLDA/OpenABC is also tagged with popular topics, for these it's ranked: deep-learning (#4,686/8407), graph-neural-networks (#251/582), datasets (#204/357)

Other Information

NYU-MLDA/OpenABC has Github issues enabled, there are 6 open issues and 11 closed issues.

There have been 2 releases, the latest one was published on 2024-10-10 (about a month ago) with the name OpenABC-D 2.0.

All Topics

datasets bulls-eye openabc-d benchmarks deep-learning logic-synthesis circuit-benchmarks electronics-design boolean-optimization graph-neural-networks graph-machine-learning logic-synthesis-benchmarks electronics-design-automation

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

39 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-11-21 @ 12:54pm, id: 399573605 / R_kgDOF9ECZQ