AI.NeuralNetwork
TicTacToe
| AI.NeuralNetwork | TicTacToe | |
|---|---|---|
| 1 | 3 | |
| 1 | 3 | |
| - | - | |
| 0.0 | 2.0 | |
| over 2 years ago | 8 months ago | |
| C# | Python | |
| - | MIT License |
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AI.NeuralNetwork
TicTacToe
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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.
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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.
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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?
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Stanford.NLP for .NET - Stanford NLP for .NET
Tic-Tac-Toe - Tic-Tac-Toe in terminal
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ai2thor - An open-source platform for Visual AI.
py-Tic-Tac-Toe - An implementation of Tic Tac Toe in the console, with AI opponents.
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IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
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