implicit

Recommender system library

Fast Python implementations of recommendation algorithms for implicit feedback datasets.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

GitHub

4k stars
77 watching
612 forks
Language: Python
last commit: 6 months ago
Linked from 3 awesome lists

collaborative-filteringmachine-learningmatrix-factorizationrecommendationrecommendation-systemrecommender-system

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
recommenders-team/recommenders Provides best practices and examples for building recommendation systems using machine learning algorithms 19,418
lyst/lightfm A Python implementation of a hybrid recommendation algorithm that incorporates explicit and implicit feedback for personalized item suggestions. 4,790
erikbern/ann-benchmarks A comprehensive benchmarking framework for evaluating the performance of approximate nearest neighbor search libraries in Python. 5,013
plasma-umass/scalene A high-performance Python profiler that analyzes CPU, GPU, and memory usage, providing detailed information and AI-powered optimization suggestions. 12,274
thealgorithms/python A collection of algorithm implementations in Python 195,521
nixtla/statsforecast A fast and accurate Python library for forecasting time series data using various statistical and econometric models 4,045
xiangwang1223/neural_graph_collaborative_filtering A Python implementation of a graph neural network-based collaborative filtering framework for personalized recommendation systems 812
bupt-gamma/multi-component-graph-convolutional-collaborative-filtering A deep learning framework for collaborative filtering and graph-based recommender systems 60
microsoft/lightgbm A high-performance gradient boosting framework for machine learning tasks 16,769
catboost/catboost A machine learning library that enables fast and scalable gradient boosting over decision trees 8,139
eriklindernoren/ml-from-scratch Provides implementations of fundamental machine learning models and algorithms from scratch in Python 24,092
luolc/adabound An optimizer that combines the benefits of Adam and SGD algorithms 2,908
aksnzhy/xlearn A high-performance machine learning package with linear models and factorization machines. 3,087
dmlc/xgboost An optimized distributed gradient boosting library designed to be highly efficient and flexible 26,396
trekhleb/homemade-machine-learning Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics 23,191