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learning@home's repositories

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

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Training a model similar to OpenAI DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)

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Memory-efficient transformer. Work in progress.

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Collaborative inference of latent diffusion via hivemind

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a libp2p-backed daemon wrapping the functionalities of go-libp2p for use in other languages

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This is an early in-development version of training CLIP models with hivemind.

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A decentralized hash table optimized to quickly find batches of keys. Built on gRPC + asyncio

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🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

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https://learning-at-home.github.io/

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Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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An open source implementation of CLIP.

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[DEBUG] multiaddr implementation in Python

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