A collection of environments for autonomous driving and tactical decision-making tasks
- reinforcement-learning
- autonomous-driving
- gymnasium-environment
Repository Index
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An environmental monitoring and regulation system
- raspberry-pi
- sensors
- regulation
- monitoring
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- agent
- artificial-intelligence
- benchmark
- multimodal
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- ai
- computer-vision
- robotics
- simulator
Isaac Gym Environments for Legged Robots
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
- python
- django
- twelve-factor
- settings
Safely pass trusted data to untrusted environments and back.
- python
- security
- hmac
- serialization
Fully featured and community-driven hacking environment
Strict separation of config from code.
- python
- configuration-files
- environment-variables
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
- rl
- reinforcement-learning
- stable-baselines
- openai
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
RL training environments for Microduck (mjlab)
An interface library for RL post training with environments.
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
A unified framework for privacy-preserving data analysis and machine learning
- differential-privacy
- homomorphic-encryption
- machine-learning
- privacy-preserving
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
- meta-agents
- meta-optimization
- runtime-supervision
- workflow-automation
Docker environment for developing, deploying, and running Frappe applications (ERPNext and custom apps) in production and development
- frappe
- erpnext
- containers
- apps
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
- ai-agent
- ai-agents-framework
- computer-control
- cradle
A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk
- attack-range
- attack-simulation
- adversary
- simulation
Simple and easily configurable grid world environments for reinforcement learning
- gridworld-environment
- gymnasium
- gymnasium-environment
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
- openai-gym
- reinforcement-learning
- q-learning
- dqn
Endurain is a self-hosted fitness tracking service designed to give users full control over their data and hosting environment
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.
Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.
- python
- python3
- testing
- testcontainers