A Fast and Safe Python based on PyPy
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Updated
Aug 6, 2023 - Python
A Fast and Safe Python based on PyPy
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
Easiest-ever formal methods language! Designed for developers crafting distributed systems, microservices, and cloud applications
Lyapunov-stable Neural Control for State and Output Feedback
CoreIR Symbolic Analyzer
The Verifiably Safe Reinforcement Learning Framework
This tool presents a novel approach to bolstering network protocol verification by integrating the Shadow network simulator with the Ivy formal verification tool to check time properties. Furthermore, it extends Ivy’s capabilities with a dedicated time module, enabling the verification of complex quantitative-time properties.
Information about verification tools. Browse the data at https://slebok.github.io/proverb/
Read-only mirror of the Klever Git repository
Python library used to safely control drone swarms and drone fleets with MAVLink
Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.
Intrepyd Model Checker
Solving Sudokus using open source formal verification tools
Normalizing flows for neuro-symbolic AI
This is an example of the design-by-contract method
Provides a packaged collection of open source EDA tools
Translates Bluespec SystemVerilog to Kami for use with the coq proof assistant.
LSVerifier - Large Systems Verifier
Navigate a grid map efficiently, avoiding obstacles, and finding optimal paths for autonomous systems. This project combines Reinforcement Learning, Monte Carlo Tree Search, and Model-Based Formal Methods to create and validate effective path plans.
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