thukeg
https://github.com/THUDM THUKEG ChatGLM, GLM-4, CogVLM, Agent, CodeGeeX, CogView, CogVideo | CogDL, GraphMAE, AMiner | Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University FIT Building, Tsinghua University https://huggingface.co/THUDM @thukeg keg.cs.tsinghua@gmail.com
https://github.com/THUDM/BattleAgentBench BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems
https://github.com/THUDM/CodeGeeX4 CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
https://github.com/THUDM/CogVideo text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
https://github.com/THUDM/CogView2 official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
https://github.com/THUDM/CogView3 text to image to generation: CogView3-Plus and CogView3(ECCV 2024)
https://github.com/THUDM/ComiRec Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
https://github.com/THUDM/eTrust Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”
https://github.com/THUDM/GATNE Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
https://github.com/THUDM/GRAND-plus Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
https://github.com/THUDM/GraphAlign
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
https://github.com/THUDM/ImageReward [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
