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 and OpenCode: fast-check for TypeScript, Hypothesis for Python, honest generators, failure triage

A small intro to property-based testing

Applying PBT optimization technique to different domains

Bug finding challenge for all of the tools around

The implement of PBT with pytorch (for Reinforcement Learning)