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1. notebook notebook Public

   Study notes on machine learning, variational inference, probabilistic graphical models, point processes, generative models, and reinforcement learning.

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2. MtlSAR MtlSAR Public

   PyTorch implementation of MtlSAR: a typed event representation framework for unified search and recommendation, with training and evaluation on JDSearch and KuaiSAR.

   Python 1

3. PDM PDM Public

   Probabilistic topic modeling for music recommendation, disentangling social influence from personal taste. Code for the Omega paper "Herd or Heard?".

   Python 1

4. SJ-NPP SJ-NPP Public

   Attention-based neural point process for jointly predicting when, how, and what users do in e-commerce event sequences. PyTorch code for "When, How, and What".

   Python 1