awesome-causality-algorithms VS LightFM

Compare awesome-causality-algorithms vs LightFM and see what are their differences.

awesome-causality-algorithms

An index of algorithms for learning causality with data (by rguo12)
Causality causal-inference causality-analysis causality-algorithms unconfoundedness-assumption baselines Awesome learning-to-rank recommender-system multilabel-classification
Source Code
Suggest alternative
Edit details

LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)
Machine Learning Recommender Python matrix-factorization learning-to-rank recommender-system
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
awesome-causality-algorithms LightFM
1 -
2,818 4,617
- 0.8%
3.5 4.8
10 months ago 5 months ago
Python
MIT License Apache License 2.0
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.

awesome-causality-algorithms

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

LightFM

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

We haven't tracked posts mentioning LightFM yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing awesome-causality-algorithms and LightFM you can also consider the following projects:

looper - A resource list for causality in statistics, data science and physics

Surprise - A Python scikit for building and analyzing recommender systems

genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

tensorflow - An Open Source Machine Learning Framework for Everyone

spotlight - Deep recommender models using PyTorch.

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

MLflow - Open source platform for the machine learning lifecycle

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

Keras - Deep Learning for humans

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).

awesome-causality-algorithms vs looper LightFM vs Surprise awesome-causality-algorithms vs genome_integration LightFM vs tensorflow awesome-causality-algorithms vs spotlight LightFM vs implicit awesome-causality-algorithms vs HumesGuillotine LightFM vs MLflow LightFM vs xgboost LightFM vs spotlight LightFM vs Keras LightFM vs Crab