learning-at-home/hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Hivemind enables training large deep learning models across many independent computers, pooling their processing power without needing a central server. You provide your model and dataset, and Hivemind coordinates the training among participants, producing a fully trained model. This is for researchers, organizations, or individuals who want to train massive AI models collaboratively or leverage distributed volunteer computing.
2,397 stars. Used by 1 other package. Available on PyPI.
Use this if you need to train very large deep learning models collaboratively with resources from multiple, independent machines, potentially across different organizations or volunteers.
Not ideal if you are working with smaller models that can be trained efficiently on a single machine or a tightly coupled cluster.
Stars
2,397
Forks
225
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2026
Commits (30d)
0
Dependencies
20
Reverse dependents
1
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