Muzero VS neural-network-scratch

Compare Muzero vs neural-network-scratch and see what are their differences.

Muzero

Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space. (by DHDev0)

neural-network-scratch

build a neural network to show as a demonstration on inner workings of a neural network (by ishubhamsingh2e)
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Muzero neural-network-scratch
1 1
16 4
- -
10.0 0.0
over 1 year ago almost 2 years ago
Python Python
GNU General Public License v3.0 only 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.

Muzero

Posts with mentions or reviews of Muzero. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

neural-network-scratch

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

What are some alternatives?

When comparing Muzero and neural-network-scratch you can also consider the following projects:

LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Gradient-Centralization-TensorFlow - Instantly improve your training performance of TensorFlow models with just 2 lines of code!

Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

mathics-core - An open-source Mathematica. This repository contains the Python modules for WL Built-in functions, variables, core primitives, e.g. Symbol, a parser to create Expressions, and an evaluator to execute them.

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

FuncNotify - Automatically notifies you of start and completion using environment variables

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

Stochastic-muzero - Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

nn-morse - Decode morse using a neural network

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics