pbt

Property-based testing for web and terminal UIs

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

The MacGraph network. An attempt to get MACnets running on graph knowledge

Property-based testing for Go

A Julia implementation of choice sequence based PBT, inspired by Hypothesis

A simple PyTorch implementation of Population Based Training of Neural Networks.

Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.

property based testing for android/iOS/web, finding harder bugs before release

A friendly functional language for finding counterexamples 🎯

Evolutionary auto-tuning for database configurations — Population-Based Training discovers optimal configurations without ML training or DBA expertise

Applying Population Based Training on Generative Adversarial Networks.

Population-Based Training (PBT) implementation on ddpg

My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].

Property-based testing and metamorphic testing combinator library for Gleam

Property-based testing (PBT) skill for Claude Code, Codex, OpenCode and Cursor: fast-check with Vitest for TypeScript, Hypothesis with pytest for Python. Finds the strongest property, writes honest generators, proves the test can fail and triages failures.

A small intro to property-based testing

Bug finding challenge for all of the tools around

Applying PBT optimization technique to different domains

Claude Code skills for genuine property-based testing: discovery workflow, anti-patterns, Hypothesis & beyond.

The implement of PBT with pytorch (for Reinforcement Learning)