Baby-Action-Detection-for-Safety-System-Prototype VS Muzero

Compare Baby-Action-Detection-for-Safety-System-Prototype vs Muzero and see what are their differences.

Baby-Action-Detection-for-Safety-System-Prototype

Prototype for Baby Action Detection and Classification (by shreyas-jk)
Computer Vision Deep Learning Lstm neural-network safety-monitoring
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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)
Arxiv arxiv-papers Deep Learning deep-reinforcement-learning Machine Learning monte-carlo-tree-search muzero neural-network Python3 Pytorch reinforcement-learning resnetv1 resnetv2 rl Gym gym-environments Lstm Transformer
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Baby-Action-Detection-for-Safety-System-Prototype Muzero
1 1
30 16
- -
0.0 10.0
over 2 years ago over 1 year ago
Python Python
- GNU General Public License v3.0 only
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Baby-Action-Detection-for-Safety-System-Prototype

Posts with mentions or reviews of Baby-Action-Detection-for-Safety-System-Prototype. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Baby-Action-Detection-for-Safety-System-Prototype and Muzero you can also consider the following projects:

Kornia - Geometric Computer Vision Library for Spatial AI

neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network

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

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.

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

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.

nn-morse - Decode morse using a neural network

DeepCubeA - Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

muzero-general - MuZero

thesis - Master's thesis, Uni Passau

DeepBeerInventory-RL - The code for the SRDQN algorithm to train an agent for the beer game problem

Baby-Action-Detection-for-Safety-System-Prototype vs Kornia Muzero vs neural-network-scratch Muzero vs LightZero Muzero vs Muzero-unplugged Muzero vs AgileRL Muzero vs Note Muzero vs Stochastic-muzero Muzero vs nn-morse Muzero vs DeepCubeA Muzero vs muzero-general Muzero vs thesis Muzero vs DeepBeerInventory-RL