Skip to main content

A package for dynamic systems simulation and Docker management

Project description

NeoDynamics

Making Reinforcement Learning accessible to everyone.

Overview

NeoDynamics is an ambitious project aimed at democratizing Reinforcement Learning (RL). Our mission is to provide intuitive, efficient, and powerful tools that make RL accessible to developers, researchers, and enthusiasts of all skill levels.

Key Features (Coming Soon)

  • 🎯 Simple, intuitive API for RL algorithms
  • 🚀 High-performance implementations
  • 📚 Comprehensive documentation and tutorials
  • 🛠️ Ready-to-use examples and templates
  • 🔧 Flexible and extensible architecture
  • 📊 Built-in visualization tools

Why NeoDynamics?

Reinforcement Learning has shown tremendous potential in solving complex decision-making problems, from game playing to robotics. However, the barrier to entry remains high due to:

  • Complex mathematical concepts
  • Difficult-to-implement algorithms
  • Lack of standardized tools
  • High computational requirements

NeoDynamics aims to address these challenges by providing a unified, user-friendly framework that makes RL accessible while maintaining the power and flexibility needed for advanced applications.

Building and Publishing

  1. Install build tools:

    pip install build twine
    
  2. Clean previous builds:

    rm -rf dist/ build/ *.egg-info
    
  3. Build the package:

    python -m build
    
  4. Upload to PyPI (ensure you have a PyPI account):

    # Production PyPI
    python -m twine upload dist/*
    

Users can then install your package using:

pip install neodynamics

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neodynamics-0.1.3.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

neodynamics-0.1.3-py3-none-any.whl (22.4 kB view details)

Uploaded Python 3

File details

Details for the file neodynamics-0.1.3.tar.gz.

File metadata

  • Download URL: neodynamics-0.1.3.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.11.11 Linux/6.8.0-55-generic

File hashes

Hashes for neodynamics-0.1.3.tar.gz
Algorithm Hash digest
SHA256 9a790ce8e6f21c8e27379050ce19f6ef3ef47cc9f7736273ddcca6d3735ced6c
MD5 08699d7d6248af82ba9792cfd55f4e0c
BLAKE2b-256 4328737adb926215f2dd415c2e43f65e6f22e2439cbaa76ea5231a79eb4fc2bb

See more details on using hashes here.

File details

Details for the file neodynamics-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: neodynamics-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 22.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.11.11 Linux/6.8.0-55-generic

File hashes

Hashes for neodynamics-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0f236cf0c3ffa767063f1b53b59e8e971d62b70b5f0229eb0482d13eeb0a24ba
MD5 7ca7eaaadbd83e7924351fee8d1e32b9
BLAKE2b-256 36b5d9f2751aaacf9fd477db2a9dd88baba879a69f45ad115d77e01c2b5cbc2d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page