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1. Deep-Reinforcement-Learning-CS285-Pytorch Deep-Reinforcement-Learning-CS285-Pytorch Public

   Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

   Python 132 11

2. Computational-Intelligence-Fall18/Computational-Intelligence-Tutorials Computational-Intelligence-Fall18/Computational-Intelligence-Tutorials Public

   This is the repository of codes written in class.

   Jupyter Notebook 43 16

3. A-quantum-inspired-genetic-algorithm-for-k-means-clustering A-quantum-inspired-genetic-algorithm-for-k-means-clustering Public

   Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

   Jupyter Notebook 34 10

4. Genetic-algorithms-for-credit-scoring Genetic-algorithms-for-credit-scoring Public

   Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature selection in credit risk assessment paper.

   Jupyter Notebook 25 6

5. rasht-school-of-ai/Meetup-Materials rasht-school-of-ai/Meetup-Materials Public

   You can find the content of each meet up here.

   Jupyter Notebook 8 1

6. base_reinforcement_learning base_reinforcement_learning Public

   This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experimentation and analysis.

   Python 12 1