de-torch VS Hypernets

Compare de-torch vs Hypernets and see what are their differences.

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de-torch Hypernets
1 1
6 261
- 1.1%
4.4 7.6
over 2 years ago 4 days ago
Python Python
MIT 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.

de-torch

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

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.

What are some alternatives?

When comparing de-torch and Hypernets you can also consider the following projects:

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

aizynthfinder - A tool for retrosynthetic planning

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

autokeras - AutoML library for deep learning

FEDOT - Automated modeling and machine learning framework FEDOT

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

evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies