Alternatives and similar repositories for dl-rerank

Users that are interested in dl-rerank are comparing it to the libraries listed below

• Junqi-Zhang / AETN
  The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow
  ☆34Updated 5 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 8 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 4 years ago
• AmazaspShumik / mtlearn
  Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
  ☆52Updated 5 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 5 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• bookc / libMF-comments-in-Chinese
  This is the libMF source files with comments in Chinses.
  ☆29Updated 11 years ago
• DSE-capstone-sharknado / tf-bpr
  Amazon Recommendation System build on BPR TensorFlow implementation
  ☆16Updated 8 years ago
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 7 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• whongyi / datafilter-recsys
  code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"
  ☆23Updated 7 years ago
• zyli93 / InterHAt
  This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
  ☆40Updated 5 years ago
• AaronJi / RL
  A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
  ☆27Updated 3 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• ncu-dart / behavior2vec
  ☆20Updated 6 years ago
• massquantity / Ftrl-FFM
  Field-aware factorization machine (FFM) with FTRL
  ☆47Updated 2 years ago
• fajieyuan / CIKM2016-LambdaFM
  LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
  ☆18Updated 6 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 5 years ago
• PanpanZheng / SAFE
  ☆35Updated 5 years ago
• rener1199 / deep_memory
  ☆62Updated 6 years ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 9 years ago
• rockingdingo / context_recommendation
  Contextual Recommendation Implementation for Research Purposes
  ☆19Updated last year
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• lca4 / collaborative-rnn
  A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
  ☆59Updated 7 years ago
• YuyuZha0 / bayes-smoothing
  Click-Through Rate Estimation for Rare Events in Online Advertising
  ☆13Updated 7 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆103Updated last year
• borelien / outbrain-ctr-character-level-cnn-tf
  Convolutional Neural Network for Click-Through Rate prediction.
  ☆15Updated 9 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
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 2 years ago