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Deep-Q-Network-DQN-Agent-for-Atari-games-
Deep-Q-Network-DQN-Agent-for-Atari-games- PublicDQN agent trained on playing multiple Atari games ( Pong, Breakout etc ) achieving +15 reward average from -21 baseline average .
Python 1
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CNN-vs-Vision-Transformer-Benchmark
CNN-vs-Vision-Transformer-Benchmark PublicA performance comparison of CNN and Vision Transformer architectures on CIFAR-10 image classification.
HTML 1
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Stable-Baselines-3-RL-agents
Stable-Baselines-3-RL-agents PublicRL agents playing Atari games in Gymnasium environments
Jupyter Notebook 1
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Franchise-System-App
Franchise-System-App PublicNodejs, Express, Mysql, Reactjs, CSS .
JavaScript 1
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