outbrain-inc / outrankLinks
A Python library for efficient feature ranking and selection on sparse data sets.
☆22Updated last month
Alternatives and similar repositories for outrank
Users that are interested in outrank are comparing it to the libraries listed below
Sorting:
- Example project for running LensKit experiments☆13Updated 2 months ago
- In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.☆22Updated 4 years ago
- ☆104Updated 9 months ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆42Updated 3 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆52Updated last year
- Online Ranking with Multi-Armed-Bandits☆18Updated 3 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆57Updated last year
- RACF (Recency Aware Collaborative Filtering) is the implementation of the "Recency Aware Collaborative Filtering for Next Basket Recommen…☆24Updated 5 months ago
- This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"☆11Updated 6 years ago
- Similarity encoding of dirty categorical variables (strings)☆20Updated 6 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Projects developed by Domino's R&D team☆78Updated 3 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- ☆11Updated last year
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 6 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- [AAAI 2021] TextWiser: Text Featurization Library☆58Updated 3 months ago
- example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow☆10Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆11Updated 4 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 3 years ago
- Your personalized retrieval engine☆30Updated 3 years ago
- An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning☆28Updated last year
- A library for GNN-based recommendation system.☆19Updated 2 years ago
- Hierarchical Forecasting at Scale☆13Updated last year
- Building Recommender System with the Two-Tower Architecture☆14Updated 3 years ago
- Pure Java implementation of XGBoost predictor for online prediction tasks.☆27Updated 2 years ago
- An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data☆23Updated 2 years ago
- ☆41Updated 4 years ago
- ☆50Updated 4 years ago