Federated-Recommendation-Neural-Collaborative-Filtering VS LargeBatchCTR

Compare Federated-Recommendation-Neural-Collaborative-Filtering vs LargeBatchCTR and see what are their differences.

Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system. (by AmanPriyanshu)
federated-learning neural-network recommender-system distributed-learning Federated iid movie-recommendation ncf neural-collaborative-filtering non-iid recommendation-engine recommendation-system collaborative-filtering Deep Learning deep-recommender-system recommendation-algorithms
Source Code
Suggest alternative
Edit details

LargeBatchCTR

Large batch training of CTR models based on DeepCTR with CowClip. (by bytedance)
ctr Deep Learning recommendation-system
Source Code
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
Federated-Recommendation-Neural-Collaborative-Filtering LargeBatchCTR
2 1
25 151
- 0.0%
3.9 1.8
about 1 year ago about 1 year ago
Python 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.

Federated-Recommendation-Neural-Collaborative-Filtering

Posts with mentions or reviews of Federated-Recommendation-Neural-Collaborative-Filtering. We have used some of these posts to build our list of alternatives and similar projects.

LargeBatchCTR

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

What are some alternatives?

When comparing Federated-Recommendation-Neural-Collaborative-Filtering and LargeBatchCTR you can also consider the following projects:

torchrec - Pytorch domain library for recommendation systems

NVTabular - 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.

LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

recommenders - Best Practices on Recommendation Systems

federeco - implementation of federated neural collaborative filtering algorithm

pyaes - Pure-Python implementation of AES block-cipher and common modes of operation.

disco - Recommendations for Ruby and Rails using collaborative filtering

openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

RecBole - A unified, comprehensive and efficient recommendation library

TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques

Federated-Recommendation-Neural-Collaborative-Filtering vs torchrec LargeBatchCTR vs NVTabular Federated-Recommendation-Neural-Collaborative-Filtering vs LT-OCF LargeBatchCTR vs recommenders Federated-Recommendation-Neural-Collaborative-Filtering vs federeco LargeBatchCTR vs pyaes Federated-Recommendation-Neural-Collaborative-Filtering vs disco LargeBatchCTR vs openrec Federated-Recommendation-Neural-Collaborative-Filtering vs recommenders LargeBatchCTR vs RecBole Federated-Recommendation-Neural-Collaborative-Filtering vs TIMDB LargeBatchCTR vs torchrec