Alternatives and similar repositories for lifetime_value

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

• wayfair / pylift
  Uplift modeling package.
  ☆376Updated 3 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆78Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆40Updated 5 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 7 months ago
• claudiashi57 / dragonnet
  ☆287Updated 3 years ago
• psarka / uplift
  ☆34Updated 7 years ago
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆38Updated 2 years ago
• jrzaurin / Wide-and-Deep-Keras
  Keras implementation of Tensorflow's Wide and Deep Algorithm
  ☆161Updated 6 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
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆177Updated 11 months ago
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆789Updated 2 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆243Updated 2 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆175Updated last year
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆34Updated 3 years ago
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆659Updated last year
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 3 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated last month
• benmiroglio / pymatch
  ☆290Updated 2 years ago
• JianzhouZhan / Awesome-RecSystem-Models
  Implements of Awesome RecSystem Models with PyTorch/TF2.0
  ☆257Updated 5 years ago
• mquad / sars_tutorial
  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
  ☆344Updated 4 years ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆248Updated 7 years ago
• rk2900 / DLF
  Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…
  ☆72Updated 5 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆648Updated 2 years ago
• sllynn / spark-xgboost
  A Python wrapper for XGBoost4J-Spark classes.
  ☆47Updated last year
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆155Updated 7 years ago