Hypernets VS deephyper

Compare Hypernets vs deephyper and see what are their differences.

Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains. (by DataCanvasIO)
neural-architecture-search hyperparameter-optimization hyperparameter-tuning evolutionary-algorithms monte-carlo-tree-search Automl autodl reinforcement-learning mcts Nas Keras nasnet enas
Source Code
hypernets.readthedocs.io
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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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Hypernets deephyper
1 1
261 262
0.8% 3.1%
7.7 8.9
8 days ago 5 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.

Hypernets

Posts with mentions or reviews of Hypernets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-28.

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 Hypernets and deephyper you can also consider the following projects:

de-torch - Minimal PyTorch Library for Differential Evolution

autokeras - AutoML library for deep learning

aizynthfinder - A tool for retrosynthetic planning

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

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

NAS-Projects - Automated deep learning algorithms implemented in PyTorch. [Moved to: https://github.com/D-X-Y/AutoDL-Projects]

keras-tuner - A Hyperparameter Tuning Library for Keras

openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

compression - Data compression in TensorFlow

ml-engineering - Machine Learning Engineering Open Book

Hypernets vs de-torch deephyper vs autokeras Hypernets vs aizynthfinder deephyper vs wandb Hypernets vs autokeras deephyper vs archai Hypernets vs NAS-Projects deephyper vs keras-tuner deephyper vs openrec deephyper vs compression deephyper vs ml-engineering