GitHub topics: kdd2023
ryanchao2012/tldr
collection of papers from various conferences
Language: Python - Size: 164 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
SJTU-DMTai/DoubleAdapt
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Language: Python - Size: 6.67 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 87 - Forks: 13
sheoyon-jhin/PAD
Precursor-of-Anomaly Detection
Language: Python - Size: 120 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 2
ThyrixYang/IDToolkit
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
Language: Python - Size: 5.66 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1
ai-library-examples/aix4industries
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Language: TeX - Size: 6.27 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
JiachengLi1995/Recformer
Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation
Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 12
tsinghua-fib-lab/G2DBP
Learning to Solve Grouped 2D Bin Packing Problems in Manufacturing Industry
Language: Python - Size: 26.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
lawwu/kdd2023_notes
Notes from KDD2023
Size: 136 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
