zshwuhan's repositories
amortized_vi
experiments on amortized VI
B-VCM
Community Detection in Edge Exchangeable Model
ChatGLM-Efficient-Tuning
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
DSTC
A Deep Spatiotemporal Trajectory Representation Learning Framework for Clustering
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.
functional-connectivity
Sensing the functional connectivity of the brain
georouting
Geo routing for Python users, supporting most of the routing tools, including OSRM, Google Maps, Bing Maps, etc. with a unified API.
Hybridcoclust
One equivalence between Expoential Latent Block Model (ELBM) and Non-negative Matrix Tri-Factorization (NMTF) with Bregman divergence.
KAIS_TravelRouteRecSys
Travel Route Recommendation
LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
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"
Polynomial_Kernel_Learning
GP on a set of real world data
python-tsp
Library to solve Traveling Salesperson Problems with pure Python code
rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Spatio-temporal-Diffusion-Point-Processes
A diffusion-based framework for spatio-temporal point processes
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.
Travel_Itinerary_Generator
A Travel Itinerary generator customised to the user's vacation type, budget and other details. The Itinerary suggests possible places the user would like to visit tailored to the available timings. This project considers only Jaipur, India as the destination city at the moment.