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๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaโฆ
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
ๆ็ดขใๆจ่ใๅนฟๅใ็จๅข็ญๅทฅไธ็ๅฎ่ทตๆ็ซ ๆถ้๏ผๆฅๆบ๏ผ็ฅไนใDatafuntalkใๆๆฏๅ ฌไผๅท๏ผ
Tensorflow implementation of DeepFM for CTR prediction.
A framework for large scale recommendation algorithms.
A PyTorch-based knowledge distillation toolkit for natural language processing
ใไบ่็ฝๅคงๅๆจ่็ฎๆณๅฎๆใ่ตๆๅบ
LambdaRank Neural Network model using Keras.
Implementation of FTRL (Follow the Regularized Leader)