467 Open source projects that are alternatives of or similar to EasyRec

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

基于 Pytorch 实现推荐系统相关的算法

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

An index of recommendation algorithms that are based on Graph Neural Networks.

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A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

Papers on Computational Advertising

Tensorflow implementation of DeepFM for CTR prediction.

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

📖Notes and remarks on Machine Learning related papers

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Minimalistic, pure Node.js framework superpowered with Dependency Injection 💡 💻 🚀

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Another implementation of Hinton's capsule networks in tensorflow.

Fast item-to-item recommendations on the command line.

Python Meta-Feature Extractor package.

CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

ML algorithm for real-time classification

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

kNN-based next-basket recommendation

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基于Tensorflow2开发的优秀扩展包及项目

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Bayesian Personalized Ranking using PyTorch

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Knowledge-aware recommendation papers.

Distribution transparent Machine Learning experiments on Apache Spark

A python library for music recommendation

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

A simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Python package for automatically constructing features from multiple time series

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

This repo is about NAS

recommender system tutorial with Python

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

This is our implementation of SAMN: Social Attentional Memory Network

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Automatic machine learning for tabular data. ⚡🔥⚡

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models