neuro-symbolic-sudoku-solver
TicTacToe
neuro-symbolic-sudoku-solver | TicTacToe | |
---|---|---|
1 | 3 | |
66 | 3 | |
- | - | |
0.0 | 2.0 | |
over 2 years ago | 8 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
neuro-symbolic-sudoku-solver
-
Neuro-Symbolic Sudoku Solver
Github: https://github.com/ashutosh1919/neuro-symbolic-sudoku-solver
TicTacToe
-
Neural networks fundamentals with Python – a guide to implementing your first neural network from scratch
I have a similar ML library for a generic NN made from scratch, with many parameters to customize it, I just finished it last week, I also mostly based myself in the 3b1b videos.
-
I created an AI for Super Hexagon based on Distributional RL. And I dare to call it superhuman :D
Also, does this have a particular reason? I've seen this in GAE-implementations but never for DQL.
-
HELP! Stuck with a reinforcement learning experiment.
I built a general purpose basic ML library that creates a Neural Network (only DENSE layers), saves and loads the weights into a file, does forward propagation and training (optimization of weights and biases) using SGD (code here). I tested the ML library with the XOR problem to make sure it worked fine (code here).
What are some alternatives?
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Connect-4 - Connect 4 is a token game created with Python and module Numpy. Place 4 tokens in a row (vertically, horizontally, or diagonally) before your opponent wins. Single-player against Artificial Intelligence and multiplayer also available.
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
Tic-Tac-Toe - Tic-Tac-Toe in terminal
DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.
AI.NeuralNetwork - Neural Network
sudoku - Can Neural Networks Crack Sudoku?
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
DragGAN - Unofficial implementation of the DragGAN paper
py-Tic-Tac-Toe - An implementation of Tic Tac Toe in the console, with AI opponents.
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
IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.