openrec VS deephyper

Compare openrec vs deephyper and see what are their differences.

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms (by ylongqi)
recommendation-system Deep Learning Machine Learning ML deep-neural-networks Recommendation recommendation-algorithm
Source Code
openrec.ai
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deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks (by deephyper)
hyperparameter-search Automl Scalability neural-architecture-search deep-neural-networks hyperparameter-optimization autodl Python ML Tensorflow Keras Deep Learning HPC Machine Learning multi-fidelity Pytorch uncertainty-quantification
Source Code
deephyper.readthedocs.io
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openrec deephyper
1 1
406 262
- 0.8%
0.0 8.9
about 1 year ago 8 days ago
Python Python
Apache License 2.0 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.

openrec

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

deephyper

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

What are some alternatives?

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

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

autokeras - AutoML library for deep learning

compression - Data compression in TensorFlow

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

recommenders - Best Practices on Recommendation Systems

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

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

keras-tuner - A Hyperparameter Tuning Library for Keras

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

ml-engineering - Machine Learning Engineering Open Book

openrec vs TensorRec deephyper vs autokeras openrec vs compression deephyper vs wandb openrec vs recommenders deephyper vs archai openrec vs deep-significance deephyper vs keras-tuner openrec vs implicit deephyper vs compression openrec vs LargeBatchCTR deephyper vs ml-engineering