tigris-and-euphrates
Rust implementation of T&E Board game (by 0b01)
deep_learning_and_the_game_of_go
Code and other material for the book "Deep Learning and the Game of Go" (by maxpumperla)
| tigris-and-euphrates | deep_learning_and_the_game_of_go | |
|---|---|---|
| 2 | 3 | |
| 9 | 929 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Rust | Python | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tigris-and-euphrates
Posts with mentions or reviews of tigris-and-euphrates.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-14.
deep_learning_and_the_game_of_go
Posts with mentions or reviews of deep_learning_and_the_game_of_go.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-14.
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Training an AI for Tigris and Euphrates
A good book I found is https://www.manning.com/books/deep-learning-and-the-game-of-go
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Why do engines often evaluate completely winning endgame positions between +60 and +63? What's significant about the low 60's as an evaluation? Or is it just a placeholder when the computer can't quite find a forced mate?
If you want to understand how the new approach used by Leela Zero and Alpha Zero works, the book Deep Learning and the Game of Go is fun and easy to read. Although it's about Go rather than chess, most of the contents are equally relevant to chess.
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[Q] Deep Learning and the Game of Go - anyone got the code to work?
One of the first hits pointed me to this github repo: https://github.com/maxpumperla/deep_learning_and_the_game_of_go
What are some alternatives?
When comparing tigris-and-euphrates and deep_learning_and_the_game_of_go you can also consider the following projects:
boardgame-research - List of research around modern boardgames.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
deepxde - A library for scientific machine learning and physics-informed learning
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
pycox - Survival analysis with PyTorch
Keras - Deep Learning for humans
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
tigris-and-euphrates vs boardgame-research
deep_learning_and_the_game_of_go vs pyod
deep_learning_and_the_game_of_go vs deepxde
deep_learning_and_the_game_of_go vs GeneticAlgorithmPython
deep_learning_and_the_game_of_go vs uncertainty-baselines
deep_learning_and_the_game_of_go vs pycox
deep_learning_and_the_game_of_go vs Keras
deep_learning_and_the_game_of_go vs spaCy
deep_learning_and_the_game_of_go vs boardgame-research