Alternatives and similar repositories for KDDCup2019_admin

Users that are interested in KDDCup2019_admin are comparing it to the libraries listed below

• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 5 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• qian135 / ctr_model_zoo
  some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…
  ☆70Updated 6 years ago
• DeepBlueAI / AutoSmart
  ☆248Updated 4 years ago
• aister2020 / KDDCUP_2020_AutoGraph_1st_Place
  KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
  ☆99Updated 4 years ago
• ChuanyuXue / MVTest
  A Distribution-Free Test of Independence Based on Mean Variance Index.
  ☆24Updated last year
• AmazaspShumik / mtlearn
  Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
  ☆52Updated 5 years ago
• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆70Updated 4 years ago
• ARASC / papers
  papers we read about Recommendation Advertising & Search
  ☆32Updated 5 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆103Updated 2 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆106Updated 3 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• easezyc / MetaHeac
  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…
  ☆57Updated 3 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆87Updated 3 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 5 years ago
• Angel-ML / automl
  An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.
  ☆60Updated 6 years ago
• rener1199 / deep_memory
  ☆62Updated 6 years ago
• Angel-ML / PyTorch-On-Angel
  PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.
  ☆168Updated 2 months ago
• vpetren / gradnorm_tf
  TensorFlow implementation of GradNorm
  ☆41Updated 2 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• Atomu2014 / product-nets-distributed
  distributed version of product-nets
  ☆82Updated 5 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆124Updated 5 years ago
• tangjianpku / tangjianpku.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆62Updated 2 months ago
• WeiyuCheng / AFN-AAAI-20
  Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
  ☆38Updated 5 years ago
• Atomu2014 / Ads-RecSys-Datasets
  This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
  ☆90Updated 5 years ago
• quanmingyao / SIF
  Efficient Neural Interaction Functions Search for Collaborative Filtering
  ☆18Updated 5 years ago
• CRIPAC-DIG / Fi_GNN
  [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
  ☆86Updated last year
• giladkatz / ExploreKit
  ☆74Updated 7 years ago
• datamllab / AutoRec
  ☆50Updated 2 years ago