de-torch VS nes-torch

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

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de-torch nes-torch
1 3
6 17
- -
4.4 3.6
over 2 years ago over 2 years ago
Python Python
MIT License MIT 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.

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.

nes-torch

Posts with mentions or reviews of nes-torch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-02.

What are some alternatives?

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

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

pipcs - PIPCS is Python Configuration System

Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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

simple-es - Simple implementations of multi-agent evolutionary strategies using pytorch.

FEDOT - Automated modeling and machine learning framework FEDOT

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

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