candle-org / MindAct
MindSpore + 🤗Huggingface: Run any Transformers/Diffusers model on MindSpore with seamless compatibility and acceleration.
Why this job: topics: natural-language-processing, vlm, deep-learning
What it does
- Protocol-based architecture. Minimal adapter interfaces for datasets, policies, and environments
- Reproducible experiments. YAML configurations with manifest-tracked provenance
- Optional dependencies. Lazy loading of torch, lerobot, and libero via extras
- Artifact management. Conventional directory structure for checkpoints, logs, and results
- Type-safe. Frozen dataclasses and runtime protocols throughout
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 921
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.1
- Released 12 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 1 still open
- Pull requests
- 1,763 merged
- 0 waiting
- Releases
- 13
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- mindspore
- natural-language-processing
- nlp
- nlp-library
- deep-learning
- python
- large-language-models
- llm
- diffusion-models
- huggingface
- vlm
Project record
- JobAI libraries and models
- StatusListed
- Commits1,959
- Forks269
- Watching11
- Stars in 28 days+2
- CreatedSep 23, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026