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A neural assembly compiler for pyTorch based on adaptive-neural-compilation
An ML framework to accelerate research and its path to production.
A PyTorch Library for Meta-learning Research
The main features of learnables/learn2learn are: Automated Machine Learning, Developer Tools, Meta Learning Libraries, More to explore.
Projects with overlapping indexed features include: ag14774/diffdist. avelino/awesome-go — This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated… aditya-khant/neural-assembly-compiler — A neural assembly compiler for pyTorch based on adaptive-neural-compilation. adrientorris/awesome-blazor. asappresearch/flambe — An ML framework to accelerate research and its path to production. awentzonline/pytorch-cns — Generalized Compressed Network Search with PyTorch.