deephyper VS openrec

Compare deephyper vs openrec and see what are their differences.

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

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 openrec
1 1
262 406
0.8% -
8.9 0.0
12 days ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

deephyper

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

autokeras - AutoML library for deep learning

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

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

compression - Data compression in TensorFlow

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

recommenders - Best Practices on Recommendation Systems

keras-tuner - A Hyperparameter Tuning Library for Keras

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

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

ml-engineering - Machine Learning Engineering Open Book

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

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