pipcs VS nes-torch

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

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pipcs nes-torch
2 3
2 17
- -
0.0 3.6
almost 3 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.

pipcs

Posts with mentions or reviews of pipcs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.

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 pipcs and nes-torch you can also consider the following projects:

sitri - Sitri - powerful settings & configs for python

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.

figenv

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

dynaconf - Configuration Management for Python ⚙

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

python-dotenv - Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

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

confs - List tools for which the given project has configs

de-torch - Minimal PyTorch Library for Differential Evolution

strictyaml - Type-safe YAML parser and validator.

parse_it - A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.