PaddlePaddle VS python-recsys

Compare PaddlePaddle vs python-recsys and see what are their differences.

PaddlePaddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) (by PaddlePaddle)

python-recsys

A python library for implementing a recommender system (by ocelma)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
PaddlePaddle python-recsys
6 -
21,584 1,468
0.8% -
10.0 0.0
1 day ago over 3 years ago
C++ Python
Apache License 2.0 http://www.gnu.org/copyleft/gpl.html
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PaddlePaddle

Posts with mentions or reviews of PaddlePaddle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

python-recsys

Posts with mentions or reviews of python-recsys. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning python-recsys yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing PaddlePaddle and python-recsys you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

Surprise - A Python scikit for building and analyzing recommender systems

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

Keras - Deep Learning for humans

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

MLflow - Open source platform for the machine learning lifecycle

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

gym - A toolkit for developing and comparing reinforcement learning algorithms.

scikit-learn - scikit-learn: machine learning in Python