tsinghua-fib-lab Goto Github PK
Name: FIB LAB, Tsinghua University
Type: Organization
Location: Tsinghua University, Beijing, China
Name: FIB LAB, Tsinghua University
Type: Organization
Location: Tsinghua University, Beijing, China
The official PyTorch implementation of "Learning to Simulate Daily Activities via Modeling Dynamic Human Needs" (WWW'23)
The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)
Official implementation of "Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data"(in KDD 2022)
The official implementation of "Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement"
An index of causal inference based recommendation algorithms (TOIS).
City-scale Vehicle Trajectory Data From Traffic Camera Videos
CityBench: Evaluating the Capabilities of Large Language Model as World Model
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
The protobuf-driven data structure definition for MOSS, OpenCity, CityBench, e.t.c.
[MOVE TO pycitysim] OpenCity | city street view collection helper Python package
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Codes for the manuscript “Emergence of modular structures in co-evolving networks”
A Digital Twin Based Iterative Calibration Framework for Fine-grained Courier Delivery Behavior Recovery
The code of Counterfactual RANdom-walk based Embedding (CRANE) algorithm introduced in Identifying Mobility Inequality in Urban Space with Large-scale Open Data
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.