HandyRL VS nes-torch

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

HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments. (by DeNA)
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HandyRL nes-torch
1 3
282 17
0.0% -
4.3 3.6
13 days 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.

HandyRL

Posts with mentions or reviews of HandyRL. 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 HandyRL and nes-torch you can also consider the following projects:

adaptdl - Resource-adaptive cluster scheduler for deep learning training.

pipcs - PIPCS is Python Configuration System

FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.

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.

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

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

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

de-torch - Minimal PyTorch Library for Differential Evolution

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