sohaib730 / Gaussian-Mixture-ModelLinks
☆11Updated 4 years ago
Alternatives and similar repositories for Gaussian-Mixture-Model
Users that are interested in Gaussian-Mixture-Model are comparing it to the libraries listed below
Sorting:
- Training convolutional neural networks using the genetic algorithm.☆23Updated 2 years ago
- Simulation of Radiation Detectors with GEANT4☆23Updated 12 years ago
- Based on research papers which discuss Fuzzy concept☆11Updated 6 years ago
- Learn atoms of a sparse dictionary using the iterative K-SVD algorithm, written in Python.☆21Updated 5 years ago
- Self-optimizing nth order Savitzky-Golay filter☆12Updated 2 years ago
- Scintillator Simulation Library for Geant4☆12Updated last year
- C++ port of the Decay0/GENBB fortran Monte Carlo code for the generation of standard decay or double beta decay processes for various rad…☆13Updated last month
- A Geant4-based simulation front-end for fast simulations and learning particle interactions☆20Updated 3 years ago
- Tools for usage with MCNP☆10Updated 12 years ago
- Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization☆16Updated last month
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16Updated 3 years ago
- A Python easy implementation of the Nelder-Mead method☆21Updated 7 years ago
- ☆16Updated 4 years ago
- Generator of 2D gaussian random fields☆54Updated 3 years ago
- Jupyter notebooks to keep my learning notes about wavelet theory☆48Updated 5 years ago
- Use Bayesian Global Optimization to solve inverse problems☆13Updated 10 years ago
- Python implementation of the DTCWT☆13Updated 6 years ago
- ☆21Updated 2 years ago
- Basic deep learning models in PyTorch.☆10Updated 5 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- ☆20Updated 5 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 2 weeks ago
- A Multi-Output Regression Framework in Python☆32Updated 5 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Updated 4 years ago
- A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python☆13Updated 4 years ago
- ☆21Updated 7 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 4 years ago
- A visualizer based on POVRAY to create visualizations of MCNPX input files without the need for MCNPX (created by Nick Michiels.)☆14Updated 13 years ago