mlcommons / training
Reference implementations of MLPerf® training benchmarks
Why this job: matched by what the repo talks about: benchmark, train, implementation, reference
What it does
This is a repository of reference implementations for the MLPerf® training benchmarks. These implementations are valid as starting points for benchmark implementations but are not fully optimized and are not intended to be used for "real" performance measurements of software frameworks or hardware.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 14 days ago
- Stars
- 1,779
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v4.0
- Released 2 years ago
- Built with
- Python
- 60% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 97% closed
- 11 still open
- Pull requests
- 282 merged
- 6 waiting
- Releases
- 2
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| open-compass / opencompass | 7,578 | yesterday | Apache-2.0 | No downloads |
| sierra-research / tau2-bench | 2,424 | 6 days ago | MIT | No downloads |
| zhangxjohn / LLM-Agent-Benchmark-List | 174 | 5 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 60%
- Jupyter Notebook 24%
- C++ 10%
- Shell 4%
Topics
- benchmark
- machine-learning
Project record
- JobEvals and observability
- StatusListed
- Commits413
- Forks597
- Watching112
- Stars in 28 days+4
- CreatedMar 29, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026