microsoft/winml-cli
View on GitHubAccelerate Model Deployment on WinML
- Stars
- 40
- Forks
- 11
- Open beginner issues
- 2
- Indexed issues
- 195
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 50
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 20, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- good first issue
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model / task scale P2 triaged
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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model / task scale P2 triaged
Difficulty 5/5 Over a week Newbie friendliness 38/100
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dev experience model / task scale NPU P2 triaged
Difficulty 4/5 3-5 days Newbie friendliness 52/100
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dev experience model / task scale NPU P2 QDQ triaged
Difficulty 5/5 Over a week Newbie friendliness 35/100
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deberta + deberta-v2 / text-classification + zero-shot-classification: all models pass wmk perf Opengraph-optimizer model / task scale NPU P2 triaged
Difficulty 5/5 Over a week Newbie friendliness 35/100
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dev experience model / task scale NPU P1 triaged
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dev experience hardware model / task scale NPU P2 QDQ triaged
Difficulty 5/5 Over a week Newbie friendliness 38/100
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model / task scale P2 triaged
Difficulty 5/5 Over a week Newbie friendliness 35/100
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dev experience model / task scale NPU P2 triaged
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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dev experience model / task scale NPU P2 triaged
Difficulty 5/5 Over a week Newbie friendliness 45/100
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dev experience model / task scale NPU P2 triaged
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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feature scale NPU P2 static-analyzer triaged
Difficulty 3/5 1-2 days Newbie friendliness 50/100
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P1 QDQ testing triaged
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feature scale P1 triaged
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feature scale P1 triaged
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feature scale graph-optimizer infrastructure P1 triaged
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feature scale graph-optimizer P1 triaged
Difficulty 5/5 Over a week Newbie friendliness 25/100
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feature scale graph-optimizer P1 triaged
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feature scale infrastructure P1 static-analyzer triaged
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feature scale infrastructure P1 static-analyzer triaged
Difficulty 5/5 Over a week Newbie friendliness 38/100
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infrastructure model / task scale P1 triaged
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bug P2 triaged
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bug P2 triaged
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feature scale graph-optimizer P1 triaged
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bug dev experience graph-optimizer P1 triaged
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feature scale graph-optimizer P1 triaged
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dev experience feature scale P1 triaged
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bug dev experience GPU graph-optimizer hardware NPU P1 QDQ static-analyzer triaged
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dev experience feature scale P1 QDQ static-analyzer to followup / verify triaged
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bug P1 QDQ static-analyzer to followup / verify triaged
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bug P2 triaged
Difficulty 3/5 1-2 days Newbie friendliness 35/100
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graph-optimizer NPU P1 refactor triaged
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dev experience P1 refactor to followup / verify triaged
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GPU hardware NPU P1 QDQ refactor triaged
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graph-optimizer model / task scale P1 triaged
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graph-optimizer model / task scale P1 triaged
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graph-optimizer model / task scale P1 to followup / verify triaged
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graph-optimizer model / task scale P1 triaged
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dev experience feature scale GPU NPU P1 QDQ triaged
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dev experience feature scale GPU hardware NPU P1 QDQ triaged
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feature scale P1 triaged
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model / task scale P1 triaged
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feature scale P1 static-analyzer to followup / verify triaged
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P1 refactor static-analyzer triaged
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good first issue NPU P1 refactor triaged