Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
Doubles and non-standard games are removed. Everything here qualifies in ChessBase as a strong game, i.e. at least 10 moves, and with ratings 2300+. Openings, evaluations, beauty scores, and novelty annotations are added.
These are tables of data related to the Leela Chess Zero self-test matches and NNUE networks. Aside from all the relevant data in the matches table, you can also turn the first value in each record — the ID field — into a URL to download the PGN itself if you put it in the following form:
It should be noted that while most of the links will come from run 1, some of them don’t, so the /1/ before the ID-NUM is actually variable data as well, and is also listed in the table along with the ID.
The data for the networks, similarly relevant, can not so easily be turned into URLs. They come with the table, but converting strips those out, and so far I don’t have a way around that. So instead I have the networks page itself, which is available at: https://storage.lczero.org/files/networks/
The above link is to a CSV I just made of the networks page itself. This is of limited use, so it’s static. In the next iteration of the script, I’ll try and put all this functionality together. Or, rather, get ChatGPT to do so, as I couldn’t code my way out of a sack of pythons.
NOTE: Those initial HTML links should be saved directly to the hard drive. Attempting to view either link would result in your browser tab crashing, as they’re both too large to display. Hence downloading them directly via the browser and then converting them to CSV, which is what I did, and what these files are:
And here is the Python script that ChatGPT wrote that generates the CSVs. Using PyInstaller (and with ChatGPT’s help, of course) I managed to get it into EXE form. All you have to do is double-click on it, and it will automagically download both HTML files for you, then convert them each to CSV, putting everything into whatever folder it happens to be in:
Author(s): Norman Schmidt (BEL) Release Date: 2024-12-17 Language: C++ Protocol: UCI Repo Owner: FireFather Repo URL: https://github.com/FireFather/ippolit
Here is source code for the original revolutionary & ground-breaking chess engine from 2009. Now ported to C++. Includes Visual studio project files… For clarity, the source code (which originally incorporated one single file)…has been re-organized to include logical header files.
Many (all) bugs have been removed, source code has been formatted, and the project has been configured to compile both 32-bit and 64-bit binaries.
Author(s): Rei Meguro (USA) Release Date: 2024-12-16 Language: C++ Protocol: UCI Repo Owner: Orbital-Web Repo URL: https://github.com/Orbital-Web/Raphael
Raphael is a UCI Chess Engine built using C++ and Disservin’s Chess Library. It also comes with a GUI built using SFML.
Changelog
Compiled with -O3 and -DNDEBUG flag for considerably faster code. Reduced size of transposition table, effectively increasing hash table entry count by 1.5x.
Note: there is no comparison with previous versions as the above changes affect all versions (roughly) equally, though the playing strength of the engine should have improved (will test soon).
Use a single “Book variety” option to control move selection from the book
Some changes to book move selection logic
Fix Intel oneAPI compiler support. Add support for CSSPGO with Intel/clang.
Fixes/updates to selfplay utility. Support output in the format used by bullet.
Add SyzygyUse50MoveRule and SyzygyProbeDepth options for CECP
Make NNUE usage non-optional. Fail on startup if network cannot be loaded.
arasan.rc is no longer loaded by the engine, by default. Auto-loading (the prior behavior) can be enabled via the -a command-line option, or use -r to select a specific file.
Make eval command evaluate current position, like Stockfish
Change SyzygyTbPath option to SyzygyPath, for conformity to Stockfish and most other engines
This update should let Integral breach into the top 15, maybe even top 10 if it scales well enough. It’s genuinely crazy seeing where this project is now.
Notable things in this update are:
Support for Multi-PV
Many search improvements and an SPSA tune
Bug fixes for wrong scores returned when using Syzygy tablebases
And of course, special thanks to everyone in my OpenBench instance and the kind, helpful people in the Stockfish discord.
