Author: Ian

Author(s): Andrea Manzo (ITA)
Release Date: 2025-01-17
Language(s): C++
Repo Owner: amchess
Repo URL: https://github.com/amchess/Alexander

Alexander is a free UCI chess engine derived from Stockfish family chess engines. For the evaluation function, we utilize the collaboration between Leela Chess Zero and Stockfish, for which we express our sincere gratitude. The goal is to apply Alexander Shashin theory exposed on the following book : https://www.amazon.com/Best-Play-Method-Discovering-Strongest/dp/1936277468 to improve

  • base engine strength
  • engine’s behaviour on the different positions types (requiring the corresponding algorithm) :
    • Tal
    • Capablanca
    • Petrosian
    • the mixed ones
      • Tal-Capablanca
      • Capablanca-Petrosian
      • Tal-Capablanca-Petrosian

Also during the search, to enhance it, we use both standard and Q/Self reinforcement learning.

Aligned with Stockfish
Jan 12, 2025
Increase the depth margin

More info:
Alexander Presentation

https://github.com/amchess/Alexander/releases/download/4.0/Linux.7z
https://github.com/amchess/Alexander/releases/download/4.0/Windows.7z
https://github.com/amchess/Alexander/archive/refs/tags/4.0.zip

Stockfish 17 source:
https://github.com/official-stockfish/Stockfish/archive/refs/tags/sf_17.zip

Chess analysis GUI for UCI engines, with extra features for Leela (Lc0) in particular.

  • Translations for various languages. Mostly machine translations.
  • Suggestions and fixes welcome… as a pull request is strongly preferred.
  • Also ask for other languages if you like.
  • See the file src/modules/translations.js

https://github.com/rooklift/nibbler/releases/download/v2.5.0/nibbler-2.5.0-linux.zip
https://github.com/rooklift/nibbler/releases/download/v2.5.0/nibbler-2.5.0-windows.zip
https://github.com/rooklift/nibbler/archive/refs/tags/v2.5.0.zip

This is a Windows executable compiled from a Python script, which gathers information on a particular GitHub repository, listing in separate files all the commits, the official releases, and the workflow artifacts, with direct URLs to the binaries.

Since one repository owner can have more than one relevant repository, it’s important to specify both. So at runtime you need at least two arguments: the name of the repo owner, and the name of the repo. You can also specify asc or desc to indicate whether the list should start at the beginning or go backwards from the end. The default is ascending.

Usage

GitHubRepoInfoFetcher.exe [-h] [-v] [-ver] -ro REPO_OWNER -re REPO {asc,desc}

Fetch GitHub repository commit, release, and workflow artifact information.

Options

-h, –help • show this help message and exit
-v, –verbose • Enable verbose output.
-ver, –version • Display script version.
-ro REPO_OWNER, –repo-owner REPO_OWNER • Owner of the GitHub repository.
-re REPO, –repo REPO • Name of the GitHub repository.

Example in PowerShell

.\GitHubRepoInfoFetcher.exe -v -ro official-stockfish -re Stockfish asc

https://www.mediafire.com/file_premium/z429baynz6aocta/GitHubRepoInfoFetcher.zip/file

Author(s): Andrea Manzo (ITA)
Release Date: 2025-01-16
Language(s): C++
Repo Owner: amchess
Repo URL: https://github.com/amchess/ShashChess

Aligned with Stockfish patch: Jan 12, 2025 (Increase the depth margin). The AI recognized the significant added value and originality of the derivative ShashChess compared to the original Stockfish. For further details and the great novelties of this version, see this pdf document.

https://github.com/amchess/ShashChess/releases/download/38/Linux.7z
https://github.com/amchess/ShashChess/releases/download/38/Mac.7z
https://github.com/amchess/ShashChess/releases/download/38/windows.7z
https://github.com/amchess/ShashChess/archive/refs/tags/38.zip

Stockfish 17 source:
https://github.com/official-stockfish/Stockfish/archive/refs/tags/sf_17.zip

Author(s): Dan Kelsey (NLD)
Release Date: 2025-01-16
Language(s): Java
Repo Owner: kelseyde
Repo URL: https://github.com/kelseyde/calvin-chess-engine

Calvin 5.1.0 brings significant improvements in both search and evaluation. Calvin has a bigger and better neural network, with a hidden layer size of 1024 and 4 king buckets, horizontally mirrored. In search, the biggest improvement was fixing Calvin’s bugged SEE algorithm, which enabled many search and move ordering techniques. Tests against the previous release suggest a strength increase of 124 elo LTC / 106 elo STC.

To run the jar file, you will need to enable the Vector API package which Calvin uses for SIMD, via this command:

java --add-modules jdk.incubator.vector -jar path/to/calvin-chess-engine-5.1.0.jar

https://github.com/kelseyde/calvin-chess-engine/releases/download/5.1.0/calvin-chess-engine-5.1.0.jar
https://github.com/kelseyde/calvin-chess-engine/releases/download/5.1.0/calvin-wrapper-5.1.0.jar
https://github.com/kelseyde/calvin-chess-engine/archive/refs/tags/5.1.0.zip

Still not totally convinced this is finished, since it took such a long time. I started with the 2025-01 FIDE XML players list, culled it with a ChatGPT-generated Python script so that only players rated 2000+ were included. Then converted that to XLSX (amongst other formats) and copied out the column in that spreadsheet for the FIDE IDs of those players. Then, with another Python script, I was able to download a JSON file for each player from the FIDE API, using a wrapper from a GitHub repository. These JSON files have all the information for those players. Not just general information, but the ratings and number of games for every month that they have a rating for. So these files turned out to be pretty long. The next step was converting all of those to a new XML players list, which includes all the history, as well as the general information. Even though the number of players is drastically reduced to only a bit more than 19,000, still the new XML players list is about twice the size of the old one. I did make sure to streamline the elements, so that, as much as possible, they resemble the elements in the regular players list.

https://www.mediafire.com/file/enoh1ljui47g305/fide-ratings-and-history-2000+-240115.zip/file

The size of the ZIP is about 40 MB, and oddly the size of the XML file is about 1.2 GB. I’m not sure how it compressed so well, but it seems to have done so.

All 24,570 games:
https://www.mediafire.com/file/no462ixnebsj9c6/chess-tournaments-2024-12.pgn/file

This is combined from TWIC, Chesscom Events, and Chess Results:
https://theweekinchess.com/twic
https://www.chess.com/events/results
https://chess-results.com/partieSuche.aspx?lan=1

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.

The player’s list is provided with each month, but not provided in the archives for previous months. While it would be somewhat useful to have an archive of them, there’s no reliable way to build it. However, all three lists are provided as XML, which can be combined with a script. So, using a Python script written by ChatGPT, I’m able to create combined XML files which don’t contain the inactive players, but nonetheless could easily stand in for the player’s list. And these can be provided for every month that there are XML files. Here is December 2024.

https://www.mediafire.com/folder/86n30ijqd3cos/2024-12

I’ve made many attempts now to create the perfect Python script for SF commits (via ChatGPT, of course), and finally realized that the problem was that almost everything necessary is already at Abrok. Official builds are over at the official site anyway. But all the commits are here, going back to 2018 or so. Here is a list of those commits, with direct links to the executables.

https://www.mediafire.com/file/v3y5kjnvxuj5528/stockfish-data-250113.txt/file