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1. function-estimation-correntropy function-estimation-correntropy Public

   estimate a sine function using neural network by maximum correntropy criterion (MCC) and Mean Square Error (MSE) in a heavy-tailed noise (Cauchy and exponential) environment

   1

2. PINNs PINNs Public

   Forked from maziarraissi/PINNs

   Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

   Jupyter Notebook 1

3. KDE-vonmises KDE-vonmises Public

   kernel density estimator (KDE) illustrates that the summation of Von Mises and Gaussian is heavy tailed

4. Channel-Parameter-Estimation-in-the-Presence-of-Phase-Noise-Based-on-Maximum-Correntropy-Criterion- Channel-Parameter-Estimation-in-the-Presence-of-Phase-Noise-Based-on-Maximum-Correntropy-Criterion- Public

   This project is a combination of information theory and machine learning in the application of signal processing at a receiver side corrupted by heavy-tailed noise distributions and AWGN

5. test2 test2 Public

   Forked from amiralizadeh2/test2

6. torchdiffeq torchdiffeq Public

   Forked from rtqichen/torchdiffeq

   Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

   Python