AMD-AGI/Hyperloom
View on GitHubAn agentic system that auto-optimizes LLM workloads on AMD GPUs.
- Stars
- 193
- Forks
- 54
- Open beginner issues
- 0
- Indexed issues
- 24
- Avg merge
- 1d 17h
- Merged PRs (30d)
- 196
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- Sep 18, 2026
- Latest indexed
- Sep 20, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
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optimization_journal.json records baseline_throughput = 0.0 for runs that measured a real baseline Open
Difficulty 3/5 1-2 days Newbie friendliness 72/100
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Difficulty 4/5 3-5 days Newbie friendliness 58/100
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awaiting-author-response
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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domain:inference type:feature
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domain:inference type:feature
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Difficulty 5/5 Over a week Newbie friendliness 38/100
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Difficulty 3/5 1-2 days Newbie friendliness 76/100
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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type:bug
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domain:inference type:bug
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--force-resume with a raised --target-gain closes immediately: target_reached_at survives the resume Opendomain:inference type:bug
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Difficulty 5/5 Over a week Newbie friendliness 32/100
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domain:inference domain:training type:feature
Difficulty 4/5 3-5 days Newbie friendliness 55/100