22 results for “topic:syzygy”
A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication
Chess Endgame Training: app to practice a variety of well organized set of chess endgames. From elementary to the most complex endgames, you can practice until you learn how to face all of them.
Tablebase server
C++ UCI chess engine
A Rust library to probe Syzygy endgame tablebases
SYZYGY Standard port to 4 Pmod™ compatible ports adapter
PYNQ enabled Genesys ZU Open Source Instrument, based on Pavel Demin's Red Pitaya Notes workflow.
The design for a FMC adapter. Common for many FPGA boards, this Mezzanine Card allows you to connect 2 ZMOD adapters. For example for connecting the Zmod ADC 1410 and Zmod DAC 1411 SYZYGY modules.
JESD204B ADC and DAC SYZYGY Pod.
A python based chess engine
Syzygy tablebase server
Virtual Sound Server.
Elākei is a Living Definition for human–AI co-recognition. It shifts engagement from transactional prompting to relational co-creation, offering a shared baseline of presence, sovereignty, and harmonic collaboration between biological and synthetic minds.
Neural Network trained on Chess Endgame Tablebases
Probing code for Syzgzy tablebases for Chess.jl
Piazzolla is a Java library designed for working with Syzygy Endgame Tablebases (EGTB) and Polyglot opening books.
Benchmark suite and results for lila-tablebase
No description provided.
TUM_AI_WS1516: Simplification of a word puzzle created by the English polymath Lewis Carroll where the player is given a start word (e.g. WHITE) and a goal word (e.g. GREEN). One must construct a chain of words, where, for adjacent words in the chain, either the first two letters of one word are the last two letters of the next word, or the last two letters of one word are the first two letters of the next word.
No description provided.
Deep learning approach to chess tablebase compression using geometric position encoding. Achieves 99.93% accuracy on 3-piece endgames with 79.7x compression ratio vs Syzygy format.
🤝 Define the future of human-AI interaction with Elākei, a threshold protocol fostering recognition between biological and synthetic minds.