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

Primitives for machine learning and data science.

An index of algorithms for learning causality with data

collecting related resources of automated machine learning here

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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.

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

图像识别与推荐系统两类

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A TensorFlow recommendation algorithm and framework in Python.

Code for Kaggle Data Science Competitions

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

Automated Machine Learning with scikit-learn

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

An autoML framework & toolkit for machine learning on graphs.

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Machine learning for Ruby

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

Python package for automatically constructing features from multiple time series

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

a distributed Hyperband implementation on Steroids

A Clojure library for querying large data-sets on similarity

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

A configurable, tunable, and reproducible library for deep matching models

Predictive AI layer for existing databases.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

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.

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

Building recommenders with Elastic Graph!

Differentiable architecture search for convolutional and recurrent networks

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

TODS: An Automated Time-series Outlier Detection System

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

AutoGluon: AutoML for Text, Image, and Tabular Data

fastFM: A Library for Factorization Machines

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

esmm model by tensorflow keras

Merlion: A Machine Learning Framework for Time Series Intelligence

A Deep Learning Recommender System

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

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

Automated modeling and machine learning framework FEDOT

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

A Python framework for program synthesis with a focus on Automated Machine Learning.

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

SoulSeek client with web interface and recommender system

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

A Pytorch implementation of DeepCrack and RoadNet projects.

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Multiplicative LSTM for Recommendations

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems