pytorch/executorch
View on GitHubOn-device AI across mobile, embedded and edge for PyTorch
- Stars
- 5k
- Forks
- 1.2k
- Open beginner issues
- 0
- Indexed issues
- 851
- Avg merge
- 2d 10h
- Merged PRs (30d)
- 581
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- Sep 19, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- good first issue help wanted
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module: vulkan
pytorch/executorch#17557 · 1 assignee ·
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module: coreml
pytorch/executorch#17537 · 3 comments · 1 assignee ·
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module: xnnpack
pytorch/executorch#17432 · 1 reaction · 1 assignee ·
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advanced docathon-2026 module: doc module: ios
pytorch/executorch#17425 · 11 comments · 1 assignee ·
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pytorch/executorch#17420 · 1 assignee ·
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pytorch/executorch#17345 · 1 assignee ·
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module: windows
pytorch/executorch#17298 · 1 comment · 1 assignee ·
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module: cuda
pytorch/executorch#17197 · 10 comments · 1 reaction · 1 assignee ·
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pytorch/executorch#17162 · 1 comment · 1 assignee ·
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pytorch/executorch#17161 · 7 comments · 1 assignee ·
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module: microcontrollers partner: arm
pytorch/executorch#17157 · 32 comments · 2 reactions · 2 assignees ·
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partner: intel
pytorch/executorch#17148 · 1 assignee ·
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module: qnn partner: qualcomm
pytorch/executorch#17146 · 1 comment · 1 assignee ·
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Difficulty 5/5 Over a week Newbie friendliness 15/100
pytorch/executorch#17133 ·
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module: llm
pytorch/executorch#17120 · 1 assignee ·
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module: examples
pytorch/executorch#17079 · 8 comments · 1 assignee ·
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pytorch/executorch#17008 · 2 comments · 1 assignee ·
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module: exir module: xnnpack triaged
Difficulty 3/5 1-2 days Newbie friendliness 65/100
pytorch/executorch#17000 · 8 comments ·
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module: qnn partner: qualcomm
pytorch/executorch#16999 · 5 comments · 3 reactions · 1 assignee ·
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module: metal triaged
pytorch/executorch#16984 · 1 reaction · 2 assignees ·
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module: qnn partner: qualcomm triaged
Difficulty 5/5 Over a week Newbie friendliness 25/100
pytorch/executorch#16972 · 8 comments ·
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module: cadence triaged
pytorch/executorch#16898 · 6 comments · 1 assignee ·
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pytorch/executorch#16866 · 1 assignee ·
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pytorch/executorch#16810 · 1 assignee ·
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pytorch/executorch#16786 · 1 comment · 1 assignee ·
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module: qnn partner: qualcomm triaged
Difficulty 5/5 Over a week Newbie friendliness 28/100
pytorch/executorch#16762 · 14 comments ·
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pytorch/executorch#16708 · 1 assignee ·
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Create VCPKG port Opentriaged
pytorch/executorch#16685 · 3 comments · 1 reaction · 2 assignees ·
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pytorch/executorch#16679 · 1 assignee ·
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Backend init configs Open
pytorch/executorch#16569 · 1 assignee ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
pytorch/executorch#16492 · 1 comment ·
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pytorch/executorch#16471 · 1 assignee ·
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pytorch/executorch#16470 · 2 comments · 1 assignee ·
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module: arm partner: arm
Difficulty 4/5 3-5 days Newbie friendliness 45/100
pytorch/executorch#16426 · 6 comments ·
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module: android
Difficulty 5/5 Over a week Newbie friendliness 20/100
pytorch/executorch#16422 · 4 comments ·
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module: qnn partner: qualcomm
Difficulty 5/5 Over a week Newbie friendliness 25/100
pytorch/executorch#16413 · 12 comments ·
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module: cuda module: quantization triaged
Difficulty 4/5 3-5 days Newbie friendliness 42/100
pytorch/executorch#16411 · 19 comments ·
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module: qnn partner: qualcomm
Difficulty 4/5 3-5 days Newbie friendliness 30/100
pytorch/executorch#16407 · 11 comments ·
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module: android
pytorch/executorch#16405 · 5 comments · 1 assignee ·
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module: xnnpack
Difficulty 4/5 3-5 days Newbie friendliness 35/100
pytorch/executorch#16397 · 4 comments ·
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pytorch/executorch#16381 · 3 comments · 1 reaction · 2 assignees ·
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pytorch/executorch#16360 · 1 comment · 1 assignee ·
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Difficulty 4/5 3-5 days Newbie friendliness 42/100
pytorch/executorch#16347 ·
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pytorch/executorch#16281 · 1 comment · 1 assignee ·
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pytorch/executorch#16279 · 1 assignee ·
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Efficient SAM3 demo Openmodule: examples
pytorch/executorch#16269 · 13 comments · 1 assignee ·
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android_ux
pytorch/executorch#16263 · 1 assignee ·
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android_ux
pytorch/executorch#16259 · 1 assignee ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
pytorch/executorch#16258 ·
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module: mps partner: arm
pytorch/executorch#16250 · 8 comments · 2 assignees ·