torchrec VS Federated-Recommendation-Neural-Collaborative-Filtering

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

torchrec

Pytorch domain library for recommendation systems (by pytorch)
Pytorch GPU Deep Learning Cuda recommender-system recommendation-system Sharding
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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
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torchrec Federated-Recommendation-Neural-Collaborative-Filtering
1 2
1,732 25
1.5% -
9.8 3.9
6 days ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
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torchrec

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

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.

What are some alternatives?

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

federeco - implementation of federated neural collaborative filtering algorithm

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

warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

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.

disco - Recommendations for Ruby and Rails using collaborative filtering

LLMRec - [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

recommenders - Best Practices on Recommendation Systems

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

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

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters

LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.

torchrec vs federeco Federated-Recommendation-Neural-Collaborative-Filtering vs LT-OCF torchrec vs warp-drive Federated-Recommendation-Neural-Collaborative-Filtering vs federeco torchrec vs NVTabular Federated-Recommendation-Neural-Collaborative-Filtering vs disco torchrec vs LLMRec Federated-Recommendation-Neural-Collaborative-Filtering vs recommenders torchrec vs NewsMTSC Federated-Recommendation-Neural-Collaborative-Filtering vs TIMDB torchrec vs FastFold Federated-Recommendation-Neural-Collaborative-Filtering vs LargeBatchCTR