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1. ml-dev-world/deep-reinforcement-learning-algorithms ml-dev-world/deep-reinforcement-learning-algorithms Public

   A collection of deep reinforcement learning algorithm implementations, including DQN, A3C, PPO, and more, for research and experimentation on classic control tasks.

   Python

2. ml-dev-world/essential-tricks-in-deeplearning ml-dev-world/essential-tricks-in-deeplearning Public

   The repository is a concise guide to essential tricks for optimizing model performance in numerous ways.

   Jupyter Notebook 1

3. ml-dev-world/pytorch-fundamentals ml-dev-world/pytorch-fundamentals Public

   Learn PyTorch basics: tensors, autograd, neural networks, and more with practical examples and tutorials. Beginner-friendly.

   Jupyter Notebook

4. ml-dev-world/the-era-of-foundation-models ml-dev-world/the-era-of-foundation-models Public

   Comprehensive course covering modern AI foundation models, including architectures, training techniques, and applications.