Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Aug 9, 2024 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
fastFM: A Library for Factorization Machines
Factorization Machine models in PyTorch
TensorFlow implementation of an arbitrary order Factorization Machine
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
DeepTables: Deep-learning Toolkit for Tabular data
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
TenforFlow Implementation of Neural Factorization Machine
TensorFlow Implementation of Attentional Factorization Machine
Some deep learning based recsys for open learning.
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
A library for factorization machines and polynomial networks for classification and regression in Python.
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
KDD17_FMG
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
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