Sudoku_Solver VS neuro-symbolic-sudoku-solver

Compare Sudoku_Solver vs neuro-symbolic-sudoku-solver and see what are their differences.

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Sudoku_Solver neuro-symbolic-sudoku-solver
1 1
6 66
- -
0.0 0.0
about 2 years ago over 2 years ago
Python Python
MIT License Apache License 2.0
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.

Sudoku_Solver

Posts with mentions or reviews of Sudoku_Solver. We have used some of these posts to build our list of alternatives and similar projects.
  • Sudoku Solver
    1 project | /r/Python | 26 Feb 2022
    Link to source code: https://github.com/bellerb/Sudoku_Solver

neuro-symbolic-sudoku-solver

Posts with mentions or reviews of neuro-symbolic-sudoku-solver. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Sudoku_Solver and neuro-symbolic-sudoku-solver you can also consider the following projects:

Braille-Sudoku-Brailloku - Generate virtually unlimited amounts of braille sudoku puzzles in BRF and PEF format!

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

sudoku - Can Neural Networks Crack Sudoku?

DragGAN - Unofficial implementation of the DragGAN paper

TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.

Agar.io_Q-Learning_AI - An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions

deep-RL-trading - playing idealized trading games with deep reinforcement learning

Sudoku-Solver - A powerful tool to solve a sudoku puzzle!!!