torchebm
Simulation-free, GPU-first generative modeling in PyTorch: composable primitives for scalable, stable training of modern energy-based models, diffusion, flow matching, and Schrödinger bridges.
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install torchebm
Dependencies
Releases
| Version | Released | Bookworm Python 3.11 |
Trixie Python 3.13 |
Files |
|---|---|---|---|---|
| 0.8.7 | 2026-09-07 | |||
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| 0.8.6 | 2026-09-02 | |||
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| 0.8.5 | 2026-09-01 | |||
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| 0.8.4 | 2026-09-01 | |||
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| 0.8.3 | 2026-09-01 | |||
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| 0.8.2 | 2026-08-30 | |||
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| 0.8.0 | 2026-08-28 | |||
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| 0.7.5 | 2026-07-16 | |||
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| 0.7.1 | 2026-07-13 | |||
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| 0.6.0 | 2026-05-31 | |||
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| 0.5.8 | 2026-02-17 | |||
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| 0.5.7 | 2026-02-12 | |||
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| 0.5.6 | 2026-02-12 | |||
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| 0.5.4 | 2026-02-11 | |||
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| 0.5.1 | 2025-12-29 | |||
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| 0.5.0 | 2025-12-23 | |||
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| 0.4.0 | 2025-10-10 | |||
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| 0.3.17 | 2025-08-22 | |||
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| 0.3.7 | 2025-05-02 | |||
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| 0.3.5 | 2025-04-27 | |||
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| 0.3.4 | 2025-04-24 | |||
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| 0.3.0 | 2025-04-18 | |||
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| 0.2.6 | 2025-04-13 | |||
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| 0.2.4 | 2025-04-11 | |||
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| 0.1.0 | 2024-10-05 | |||
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