ncem VS NeuRec

Compare ncem vs NeuRec and see what are their differences.

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ncem NeuRec
1 2
104 1,052
0.0% -
6.2 0.0
about 1 year ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License -
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.

ncem

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

NeuRec

Posts with mentions or reviews of NeuRec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-22.

What are some alternatives?

When comparing ncem and NeuRec you can also consider the following projects:

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

neural_collaborative_filtering - Neural Collaborative Filtering

AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

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