facebookresearch/flow_matching
View on GitHubA PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
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- 4.8k
- Forks
- 375
- Open beginner issues
- 0
- Indexed issues
- 13
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- Jan 5, 2026
- Latest indexed
- Sep 15, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
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- PR merge metrics
- No merged PRs in 30d
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Difficulty 2/5 1-3 hours Newbie friendliness 68/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 3/5 1-2 days Newbie friendliness 38/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
facebookresearch/flow_matching#86 · 3 comments ·
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improve readability Open
Difficulty 1/5 Under an hour Newbie friendliness 50/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/flow_matching#75 · 1 comment ·
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Difficulty 3/5 1-2 days Newbie friendliness 58/100
facebookresearch/flow_matching#73 · 1 reaction ·
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Difficulty 5/5 Over a week Newbie friendliness 30/100
facebookresearch/flow_matching#65 · 7 comments · 1 reaction ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
facebookresearch/flow_matching#60 · 3 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
facebookresearch/flow_matching#59 · 5 comments ·
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
facebookresearch/flow_matching#17 · 1 comment · 1 reaction ·