d2l-vi is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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These projects were analysed and named d2l-vi among their alternatives. The relationship is not symmetric — how d2l-vi rates them is a separate judgement, made when d2l-vi is analysed in its own right.
calls d2l-vi “older Vietnamese translation of the same D2L book; for Vietnamese readers if the stale version is acceptable”
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。