A playbook for systematically maximizing the performance of deep learning models.

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🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

《Pytorch模型训练实用教程》中配套代码

Implementation and experiments of graph embedding algorithms.

Rcpp bindings for the approximate nearest neighbors library hnswlib

Enhancements to Heatmap.2 from the gplots R package