namanUIUC / NonlinearComponentAnalysis
Application of principal component analysis capturing non-linearity in the data using kernel approach
☆8Updated 6 years ago
Alternatives and similar repositories for NonlinearComponentAnalysis:
Users that are interested in NonlinearComponentAnalysis are comparing it to the libraries listed below
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated 2 years ago
- Random Forest Library In Python Compatible with Scikit-Learn☆14Updated 3 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM …☆24Updated 5 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 3 years ago
- Bayesian method library for Python☆33Updated 6 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- ☆13Updated 3 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 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
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 5 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 6 years ago
- Libraries for Scientific Computing☆10Updated 6 years ago
- Modification of SOMPY repo with robust K-means clustering (bootstrapped SSE elbow method)☆14Updated 5 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…☆11Updated 6 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 10 years ago
- Fast implementation of some Continuous Wavelet Transforms.☆12Updated 11 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Course taught at the University of Bordeaux in the academic year 2017 for PhD students.☆16Updated 8 years ago
- Dynamic mode decomposition in Python☆13Updated 9 years ago
- Kalman Optimization for Value Approximation☆10Updated 5 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆16Updated 6 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited DataUpdated 6 years ago
- algorithms for mass univariate regression☆12Updated 6 years ago
- Signal Processing for Dummies☆11Updated 5 years ago