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1. ai-fairness ai-fairness Public

   Notes, references and materials on AI Fairness that I found useful and helped me in my academic research.

   9 3

2. IBM/ibm-generative-ai IBM/ibm-generative-ai Public

   IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.

   Python 249 101

3. lorenz-attractor-chaos-theory lorenz-attractor-chaos-theory Public

   Evaluating the Lorenz Attractor using Runge-Kutta, Predictor-Corrector and Euler methods.

   Jupyter Notebook 7 2

4. heat-diffusion-equation heat-diffusion-equation Public

   Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.

   Jupyter Notebook 26

5. machine-learning-studies machine-learning-studies Public

   Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

   Jupyter Notebook 4

6. differential-privacy differential-privacy Public

   Notes, references, and materials about Differential Privacy that I found useful for my research. Recommendations are welcome.

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