Jet Chess Engine 🛠️

Jet is a cutting-edge chess engine renowned for its highly intelligent chess playing capabilities. With its ultra-fast move generator, advanced search algorithms, and neural network-based evaluation system, Jet pushes the boundaries of chess engine development. 🚀

Key Features 🌟

• Ultra Fast Move Generator: Jet's move generator is optimized for speed, capable of processing up to 1 billion nodes per second on high-end hardware like the i7 14700KF. ⚡️

• GPL 3 Licensed: Jet is released under the GNU General Public License Version 3, affirming its commitment to openness and collaboration within the community. 📜

• NNUE Evaluation with Autovectorized Inference: Jet leverages Neural Network with Efficiently Updatable Neural Network (NNUE) evaluation, utilizing autovectorized inference for position evaluations. 🧠

• Search features: Jet employs Alpha-beta pruning alongside advanced search techniques like Late Move Reduction and Singular Extensions to optimize its search, enhancing computational efficiency and playing strength. 🔍

Building Instructions 🏗️

Required Tools 🛠️

• Make
• Clang compiler (GCC works but not preferred)

Building on Windows 🖥️

git clone https://github.com/rafid-dev/jet.git
cd jet
make -j CXX=clang++

Building on Linux 🐧

Replace XX with your Linux's clang version or leave as clang++ if symlinked.

git clone https://github.com/rafid-dev/jet
cd jet
make -j CXX=clang++-XX

Ensure everything works fine by running ./Jet bench and verifying that the nodes match the current commit bench nodes. ✔️

Testing and Support 🛡️

Testing of Jet is supported by the OpenBench Instance at https://rafiddev.pythonanywhere.com/. 🧪

Special thanks to contributors:

• Vast (GitHub), author of Clarity (GitHub)
• Sazgr (GitHub)

And my great friends:

• Raiyad
• Ariyan737
• Rafsan60
• Uganiga
• Daredevil1618

Acknowledgements 🙏

Jet acknowledges the following projects for their contributions and inspiration:

• Disservin's Chess Library (GitHub) for ideas on organizing move generation functions.
• Grapheus NNUE Trainer by Luecx (GitHub)
• OpenBench for distributed SPRT testing by Andrew (GitHub)

Supporting Development 💡

Support the development of Jet by contributing threads on https://rafiddev.pythonanywhere.com/. Register an account and contact the developer for more information.

Contact 📧

For inquiries and collaboration opportunities, reach out to the developer on Discord at j.en.

Let's push the boundaries of chess engine development with Jet! ♟️