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lucidrains/byol-pytorch ★ 1901 247 APPLICATION

byol-pytorch is a Python library that implements Bootstrap Your Own Latent (BYOL), a self-supervised learning method for image representations. The core contribution is the `BYOL` module, which wraps any PyTorch image backbone (e.g., ResNet) and trains it without labels by maximizing agreement between two augmented views of the same image. The library derives its behavior from code rather than promises: it computes a cosine loss between online predictions and target projections, where the target encoder is an exponential moving average of the online encoder (or the online encoder itself for the SimSiam variant). It also supports optional Simplicial Embeddings (SEM) and custom augmentation pipelines.

RATING: 8.4/10 MAINT: active DRIFT: medium
#self-supervised-learning #pytorch #representation-learning #byol #simsiam #distributed-training #computer-vision #artificial-intelligence #deep-learning
▸ 3 reusable components found
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