kdd2023

There are 3 repositories under kdd2023 topic.

• 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.

  concept-driftdistribution-shiftincremental-learningkdd2023meta-learningquantitative-financestock-prediction
  Language:Python 106

• JiachengLi1995 / Recformer

  Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation

  sequential-recommendationkdd2023
  63

• ThyrixYang / IDToolkit

  IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23

  bayesian-optimizationbenchmarkdeep-learningdeep-neural-networksdeeplearninginverse-designinverse-problemskddkdd2023
  Language:Python 12

• sheoyon-jhin / PAD

  Precursor-of-Anomaly Detection

  anomalydetectionkdd2023neuralcdetime-seriestime-series-anomaly-detection
  Language:Python 7

• LiyaoJiang1998 / AdSEE

  Code repo for the paper "AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness", accepted to KDD '23.

  ctr-predictionganaidata-minigimage-edittingimage-generation-aikddkdd2023recommender-systemsstylegan-model
  Language:Python 6

• tsinghua-fib-lab / G2DBP

  Learning to Solve Grouped 2D Bin Packing Problems in Manufacturing Industry

  bin-packingkdd2023reinforcement-learning
  Language:Python 6

• lawwu / kdd2023_notes

  Notes from KDD2023

  conferenceconference-noteskddkdd2023
  4

• ai-library-examples / aix4industries

  AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases

  aiaix360artificial-intelligenceexplainabilityexplainable-aiexplainable-mlfault-detectionforecastingindustrialinterpretabilitymodel-agnostictime-seriesxaikdd2023ibm-researchibm-research-aiaix360-for-time-series-and-industrial-use-cases
  Language:TeX 1

• ryanchao2012 / tldr

  collection of papers from various conferences

  conference-paperkdd2023
  Language:Python