pltrees / abcboost

Related projects: ⓘ

• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆71Updated 3 years ago
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆164Updated 2 years ago
• bytedance / LargeBatchCTR
  Large batch training of CTR models based on DeepCTR with CowClip.
  ☆162Updated last year
• PaddlePaddle / ElasticCTR
  ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部…
  ☆180Updated 4 years ago
• massquantity / dismember
  Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
  ☆64Updated last year
• Angel-ML / PyTorch-On-Angel
  PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.
  ☆164Updated last year
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆83Updated 4 years ago
• bbruceyuan / DeepMatch-Torch
  「PyTorch」A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors …
  ☆74Updated 2 years ago
• guolinke / boosting_tree_benchmarks
  ☆69Updated 4 years ago
• Open-All-Scale-Causal-Engine / OpenASCE
  OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, cau…
  ☆63Updated 8 months ago
• massquantity / Ftrl-FFM
  Field-aware factorization machine (FFM) with FTRL
  ☆41Updated last year
• Angel-ML / automl
  An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.
  ☆58Updated 4 years ago
• rapidsai / gputreeshap
  ☆92Updated last month
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆172Updated 2 years ago
• DeepBlueAI / AutoSmart
  ☆249Updated 3 years ago
• Angel-ML / serving
  A stand alone industrial serving system for angel.
  ☆62Updated 2 years ago
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆395Updated 3 weeks ago
• ChuanyuXue / MVTest
  A Distribution-Free Test of Independence Based on Mean Variance Index.
  ☆24Updated 3 months ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆147Updated 5 months ago
• DeepRec-AI / serving
  A high-performance serving system for DeepRec based on TensorFlow Serving.
  ☆15Updated 10 months ago
• jpmml / jpmml-lightgbm
  Java library and command-line application for converting LightGBM models to PMML
  ☆174Updated last month
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated 10 months ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆225Updated 4 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 4 years ago
• Angel-ML / sona
  Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models
  ☆83Updated last year
• alibaba / Curvature-Learning-Framework
  Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
  ☆156Updated 2 years ago
• alipay / jpmml-sparkml-lightgbm
  JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
  ☆41Updated 2 years ago
• jdcomsearch / poeem
  A library for end-to-end learning of embedding index and retrieval model
  ☆61Updated 3 years ago
• michaeljahrer / rankGauss
  ☆26Updated 6 years ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆123Updated 4 years ago