lfywork Goto Github PK

bilibili-api

哔哩哔哩的API调用模块

birthday

characteristic-based-time-series-clustering

Time Series Clustering Based on Characteristic Based Feature Extraction inspired by the paper mentioned in the README

deep-learning-time-series

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

dssl

User activities in real systems are usually time-sensitive. But most of the existing sequential models in recommender systems neglect the time-related signals. In this paper, we find that users' temporal behaviours tend to be driven by their regularly-changing states, which provides a new perspective on learning users' dynamic preference. However, since the individual state is usually latent, the event space is high dimensional, and meanwhile temporal dependency of states is personalized and complex, it is challenging to represent, model and learn the time-evolving patterns of user's state. Focusing on these challenges, we propose a Deep Structured State Learning (DSSL) framework which is able to learn the representation of temporal states and the complex state dependency for time-sensitive recommendation. Extensive experiments demonstrate that DSSL achieves competitive results on four real-world recommendation datasets. Furthermore, experiments also show some interesting rules for designing the state dependency network.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

familia

A Toolkit for Industrial Topic Modeling

gdutthesis

广东工业大学 LaTeX 论文模板

gluon-ts

Probabilistic time series modeling in Python

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

ishop

My private homework about mobile web.

issm

Innovation State Space Models

jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

lfywork.github.io

My personalized web page.

neuralpointprocess

proximityhash

Geohashes in proximity

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

smore

SMORe: Modularize Graph Embedding for Recommendation

srgnn_pyg

A reimplementation of SRGNN.

ssm-python

State Space Models for Python

ssmdm

Recurrent state-space models for decision making

svae

code for Structured Variational Autoencoders

tf-gnn-samples

Tensorflow implementations of Graph Neural Networks

vae

a simple vae and cvae from keras

wmf

Weighted matrix factorization in Python