compression VS openrec

Compare compression vs openrec and see what are their differences.

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compression openrec
1 1
823 406
2.6% -
6.6 0.0
10 days ago about 1 year ago
Python Python
Apache License 2.0 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.

compression

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

openrec

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

What are some alternatives?

When comparing compression and openrec you can also consider the following projects:

EmoPy - A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

serving - A flexible, high-performance serving system for machine learning models

recommenders - Best Practices on Recommendation Systems

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

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

guesslang - Detect the programming language of a source code

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

tensorflow - An Open Source Machine Learning Framework for Everyone

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

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