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
Sorting:
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- algorithms for mass univariate regression☆12Updated 6 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆9Updated 2 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…☆11Updated 2 years ago
- Duke Machine Learning Winter School 2019☆27Updated 6 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 9 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Symbolic computation using SymPy and various applications☆21Updated 6 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 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
- Quick reference for using Sympy and Jupyter to quickly solve college math☆9Updated 6 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆1Updated 7 years ago
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Updated 6 years ago
- Curated materials for different machine learning related summer schools☆19Updated 4 years ago
- Material for the Advanced Scientific Programming in Python course on advanced numpy☆26Updated 6 years ago
- Kalman Optimization for Value Approximation☆11Updated 5 years ago
- Bayesian method library for Python☆33Updated 6 years ago
- 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
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 10 years ago
- Libraries for Scientific Computing☆10Updated 6 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- A numerical code generator☆20Updated 11 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago