facebookresearch/flow_matching
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities. observed · 2026-08-28
Health v2 · maintenance only
48/100
- Activity 60
- Release rhythm 35
- Longevity 45
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 634
- days_rel: n/a
- days_push: 240
- n_releases_24m: 0
Adoption not part of the score
4705 stars · 369 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A PyTorch library for implementing flow matching algorithms with continuous, discrete, and Riemannian flow matching implementations. It accompanies the Flow Matching Guide and Codebase and includes training examples for text and image modalities.
Use cases
- train a flow matching generative model
- implement continuous normalizing flows in pytorch
- discrete flow matching for text generation
- learn flow matching from a guide and codebase
- train a generative image model on CIFAR10
- riemannian flow matching on manifolds
When to choose
- you want a maintained, research-backed PyTorch implementation of flow matching
- you need both continuous and discrete flow matching with solvers, paths, and schedulers
- you want runnable training examples for text and image modalities
When to avoid
- you need pre-trained models - none are released
- you need a permissively licensed library for commercial use - it is CC BY-NC 4.0
- you use diffusion models or other generative approaches instead of flow matching
Facets
library · maturity active
machine-learning deep-learning machine-learning deep-learning artificial-intelligence python flow-matching generative-modeling pytorch generative-ai research
3 sources
- readme: https://github.com/facebookresearch/flow_matching · fetched 2026-08-28 · f48531befdde
- homepage: http://facebookresearch.github.io/flow_matching · fetched 2026-08-29 · ae7eb854e3a3
- registry_pypi: https://pypi.org/pypi/flow_matching/json · fetched 2026-08-29 · 2964085e5645
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/flow_matching | main | 48 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/flow_matching")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem