This is the Windows app named Hivemind whose latest release can be downloaded as 1.1.10_macOSandLinuxARMsupport.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Hivemind
DESCRIPTION
Hivemind is a PyTorch library for decentralized deep learning across the Internet. Its intended usage is training one large model on hundreds of computers from different universities, companies, and volunteers. Distributed training without a master node: Distributed Hash Table allows connecting computers in a decentralized network. Fault-tolerant backpropagation: forward and backward passes succeed even if some nodes are unresponsive or take too long to respond. Decentralized parameter averaging: iteratively aggregate updates from multiple workers without the need to synchronize across the entire network. Train neural networks of arbitrary size: parts of their layers are distributed across the participants with the Decentralized Mixture-of-Experts. If you have succesfully trained a model or created a downstream repository with the help of our library, feel free to submit a pull request that adds your project to the list.
Features
- Before installing, make sure that your environment has Python 3.7+
- Decentralized parameter averaging
- Fault-tolerant backpropagation
- Distributed training without a master node
- Train neural networks of arbitrary size
- By default, hivemind uses the precompiled binary of the go-libp2p-daemon library
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hivemind.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
