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deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

dien

dien-tf2

Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction

din-pytorch

PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

kaggle-two-sigma-winner

Kaggle Two Sigma 2nd Prize Winning Code https://www.kaggle.com/c/two-sigma-financial-news

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

transformer-pytorch

PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

x-deeplearning

An industrial deep learning framework for high-dimension sparse data