MAGIST-Algorithm VS neuro-symbolic-sudoku-solver

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

MAGIST-Algorithm

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta (by DeepShift-Labs)
Artificial intelligence artificial-neural-networks semi-supervised-learning unsupervised-machine-learning unsupervised-learning kmeans-clustering Database Data Science scrapping scrapping-python Keras Tensorflow AI Deep Learning Machine Learning NLP Python3 self-supervised-learning Collaboration Python
Source Code
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neuro-symbolic-sudoku-solver

⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations. (by ashutosh1919)
neurosymboliccomputing Machine Learning Deep Learning reinforcement-learning neural-network neural-logic-machines sudoku-solver sudoku Artificial intelligence artificial-neural-networks reinforcement-learning-agent explainable-ai solving-sudoku-puzzles
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MAGIST-Algorithm neuro-symbolic-sudoku-solver
1 1
5 66
- -
3.8 0.0
9 months ago over 2 years ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
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MAGIST-Algorithm

Posts with mentions or reviews of MAGIST-Algorithm. We have used some of these posts to build our list of alternatives and similar projects.

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 MAGIST-Algorithm and neuro-symbolic-sudoku-solver you can also consider the following projects:

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

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

python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

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

contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.

sudoku - Can Neural Networks Crack Sudoku?

ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

DragGAN - Unofficial implementation of the DragGAN paper

keras-nlp - Modular Natural Language Processing workflows with Keras

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.

IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.

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

MAGIST-Algorithm vs 100DaysOfML neuro-symbolic-sudoku-solver vs transformers-interpret MAGIST-Algorithm vs python neuro-symbolic-sudoku-solver vs DiCE MAGIST-Algorithm vs contrastive-reconstruction neuro-symbolic-sudoku-solver vs sudoku MAGIST-Algorithm vs ADBench neuro-symbolic-sudoku-solver vs DragGAN MAGIST-Algorithm vs keras-nlp neuro-symbolic-sudoku-solver vs TicTacToe MAGIST-Algorithm vs IntroDLPython neuro-symbolic-sudoku-solver vs Agar.io_Q-Learning_AI