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This repo hosts Prowler OSS (CLI and Local Server). Prowler is the world’s most widely used open-source cloud security platform that automates security and compliance across any cloud environment for Humans and AI Agents.
Open-source, secure environment with real-world tools for enterprise-grade agents.
Install and Run Python Applications in Isolated Environments
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Official repository for Spyder - The Scientific Python Development Environment
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
StarCraft II Learning Environment
A system-level, binary package and environment manager running on all major operating systems and platforms.
Framework for evaluating and improving agents
Hide screen when boss is approaching.
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
Setup and customize deep learning environment in seconds.
PyTorch implementations of deep reinforcement learning algorithms and environments
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
Virtual Python Environment builder
Configuration Management for Python ⚙
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
Safely pass trusted data to untrusted environments and back.
Strict separation of config from code.