HaojiHu

caffeine

A high performance caching library for Java

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

N-BEATS

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

MIMN

HPMN

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

TIFUKNN

kNN-based next-basket recommendation

dpq_embedding_compression

Differentiable Product Quantization for End-to-End Embedding Compression.

grocery

models for grocery shopping behavior (Wan et al, CIKM'18, Wan et al, WWW'17)

Next-Basket-Recommendation

About Next Basket Recommendations Based on Neural Network.

snp

This is the official source code for Sequential Neural Processes.

optimalwebcaching

Derive the optimal cache hit ratio for Internet request traces with variable object sizes.

frequent-directions-experiments

Contains matrix sketching algorithms in python

ASNP-RMR

This is an official Tensorflow implementation of the ASNP-RMR.