openrec VS LargeBatchCTR

Compare openrec vs LargeBatchCTR and see what are their differences.

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms (by ylongqi)

LargeBatchCTR

Large batch training of CTR models based on DeepCTR with CowClip. (by bytedance)
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openrec LargeBatchCTR
1 1
406 151
- 0.0%
0.0 1.8
about 1 year ago about 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
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openrec

Posts with mentions or reviews of openrec. 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 openrec and LargeBatchCTR you can also consider the following projects:

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

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.

compression - Data compression in TensorFlow

recommenders - Best Practices on Recommendation Systems

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

deep-significance - Enabling easy statistical significance testing for deep neural networks.

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.

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

RecBole - A unified, comprehensive and efficient recommendation library

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

torchrec - Pytorch domain library for recommendation systems