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connormcmonigle / seer-nnue

UCI chess engine using neural networks for position evaluation

Why this job: matched by what the repo talks about: evaluation, network, engine, neural

What it does

  • From scratch neural network training and execution (using OpenMP SIMD directives and SIMD intrinsics) implementation
  • Plain magic bitboard move generation with constexpr compile time generated attack tables.
  • Principal variation search inside an iterative deepening framework
  • Lockless shared transposition table (using Zobrist hashing)
  • Move Ordering (SEE for captures + Killer Move, Combined Butterfly History, Counter Move History and Follow Up History for quiets)

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 2 days ago
Stars
146
+1 this week
Licence
GPL-3.0
Share-alike terms
Downloads for
Windows
From the latest release
Latest version
v2.8.0
Released 2 years ago
Built with
C++
93% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
62% closed
5 still open
Pull requests
195 merged
0 waiting
Releases
15
0 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: download files, languages, topics and project record

Download files, v2.8.0

  • Windows3 files, 3,391 downloads

All files on GitHub (opens in new tab)

Languages

  • C++ 93%
  • C 6%
  • Makefile <1%
  • Python <1%

Topics

  • uci-chess-engine
  • chess-engine
  • neural-network
  • machine-learning

Project record

  • JobEvals and observability
  • StatusListed
  • Commits482
  • Forks14
  • Watching3
  • Stars in 28 days+3
  • CreatedJun 17, 2020
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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