zshwuhan's repositories
amortized_vi
experiments on amortized VI
BiSheServer
本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使用simpleui进行了美化。
EasyTemporalPointProcess
EasyTPP: Towards Open Benchmarking the Temporal Point Processes
ELBMcoclust
We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.
FL-TEE
OLIVE: Oblivious and Differentially Private Federated Learning on TEE
FlutterDouBan
🔥🔥🔥Flutter豆瓣客户端,Awesome Flutter Project,全网最100%还原豆瓣客户端。首页、书影音、小组、市集及个人中心，一个不拉。（ https://img.xuvip.top/douyademo.mp4）
functional-connectivity
Sensing the functional connectivity of the brain
GNPP-code
The implementation of GNPP model.
GNTPP
This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
gpt4free
decentralising the Ai Industry, just some language model api's...
Hybridcoclust
One equivalence between Expoential Latent Block Model (ELBM) and Non-negative Matrix Tri-Factorization (NMTF) with Bregman divergence.
MVLBM
A Python Implementation of the Multi-View Latent Block Model
OSMTS
This is the code for "Online Semi-supervised Classification on Multi-label Evolving High-Dimensional Text Streams"
RebuttalLetter
LaTeX template for the rebuttal letter used for the academic journal submission
rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
skstab
:cookie: Clustering stability analysis in Python with a scikit-learn compatible API.
Spatio-temporal-Diffusion-Point-Processes
A diffusion-based framework for spatio-temporal point processes
StochasticProcessesCourse
Assignments and projects of stochastic processes course - Fall 2022
Stream-Zip-dLBM
Deep dynamic co-clustering of count data streams: application to pharmacovigilance
Temporal-Point-Process-TPP-
This repository contains recent background materials, current works, and codes for researching in TPP.
time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
Zip-dLBM
This GitHub repository contains the code implementation for the dynamic co-clustering approach proposed in the article "A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data Matrices”.