mlcommons/training
Reference implementations of MLPerf® training benchmarks
Repository profile
Reference implementations of MLPerf® inference benchmarks
Repository updates
Get generated mlcommons/inference development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:16
5 captures since 2026-05-25
Stars from baseline +23
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:16
docs/requirements.txt
python ecosystem,
0 dependencies
e2e-rag/requirements.txt
python ecosystem,
0 dependencies
loadgen/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
loadgen/pyproject.toml
python ecosystem,
0 dependencies
loadgen/requirements.txt
python ecosystem,
0 dependencies
loadgen/setup.py
python ecosystem,
0 dependencies
text_to_image/requirements.txt
python ecosystem,
0 dependencies
automotive/3d-object-detection/requirements.txt
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
Reference implementations of MLPerf® training benchmarks
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
https://mlcommons.org/en/groups/inference
README403 Forbidden | https://api.github.com/repos/mlcommons/inference/readme | message=API rate limit exceeded for user ID 260990068. If you reach out to GitHub Support for help, please include the request ID D8A2:B235E:D6F66F0:CBEBA85:6A56FB73 and timestamp 2026-07-15 03:16:03 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (http | rate_limit_remaining=0 | rate_limit_reset=1784088007