Simple Python implementation of a Complete/Systematic SAT Solver with the DPLL algorithm
☆14May 24, 2018Updated 7 years ago
Alternatives and similar repositories for dpll-sat
Users that are interested in dpll-sat are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NeuroCore: Guiding CDCL with Unsat-Core Predictions☆47Feb 17, 2020Updated 6 years ago
- SAT solver based on CDCL in Python with Conflict Driven Clause Learning, clever Heuristics - VSIDS, 2 - Literal watch advanced data struc…☆21Sep 16, 2020Updated 5 years ago
- Quantum Wordle☆14Feb 7, 2025Updated last year
- WARNING: The Qboost demo is now maintained in a different GitHub account. To find this repo, please visit dwave-examples/qboost.☆16Jun 21, 2022Updated 3 years ago
- Resources for Learning PLT Redex☆13Jul 24, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Quantum Machine Learning R&D☆13Apr 17, 2019Updated 7 years ago
- Roshambo bots including Python translation of Dan Egnor's Iocaine Powder☆11Jul 28, 2012Updated 13 years ago
- Machine learning environment over MAME-supported games☆15Apr 2, 2026Updated 2 weeks ago
- ☆18Jan 3, 2022Updated 4 years ago
- OpenAI Gym environment for graph search problems such as shortest path.☆11Dec 24, 2019Updated 6 years ago
- Boolean satisfiability for propositional logic in Python☆14Aug 19, 2025Updated 7 months ago
- Python-based HEX implementation for a fragment of the HEX language and a subset of features.☆15Jan 4, 2022Updated 4 years ago
- Extended QCADesigner with estimation of energy dissipation☆19Aug 17, 2025Updated 8 months ago
- Print and ebook friendly versions of lesswrong.com sequences☆32Mar 16, 2011Updated 15 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Simulating quantum supremacy benchmarking with random unitary sampling.