namanUIUC / NonlinearComponentAnalysis
Application of principal component analysis capturing non-linearity in the data using kernel approach
☆8Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for NonlinearComponentAnalysis
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 3 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated last year
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 6 years ago
- algorithms for mass univariate regression☆12Updated 6 years ago
- Bayesian method library for Python☆32Updated 5 years ago
- Pricing derivatives using the explicit finite-difference method☆13Updated 8 years ago
- The Union of Intersections Framework in Python☆13Updated last year
- Run and time jupyter notebooks☆12Updated last year
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Modification of SOMPY repo with robust K-means clustering (bootstrapped SSE elbow method)☆14Updated 5 years ago
- a package to support with the statistical analysis of trajectory data☆9Updated 7 years ago
- Quick reference for using Sympy and Jupyter to quickly solve college math☆9Updated 6 years ago
- Compute set of important operations for HCTSA code☆25Updated 4 years ago
- A visualization library for Keras deep learning☆8Updated 2 years ago
- Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)☆12Updated 7 months ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 5 years ago
- Constrained multivariate least-squares optimizer for scipy☆21Updated 8 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 4 years ago
- Dynamic mode decomposition in Python☆13Updated 9 years ago
- This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…☆10Updated 2 years ago
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆9Updated 8 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Updated 4 years ago
- Variational Recurrent Auto Encoder☆16Updated 8 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- Kalman Optimization for Value Approximation☆10Updated 4 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year