cc-skuehn / Manifold_Learning
Worked examples about manifold learning using sklearn and jupyter
☆51Updated 6 years ago
Alternatives and similar repositories for Manifold_Learning:
Users that are interested in Manifold_Learning are comparing it to the libraries listed below
- An algorithm for unsupervised discovery of sequential structure☆25Updated 6 years ago
- Convolution dictionary learning for time-series☆129Updated 3 months ago
- Preconditioned ICA for Real Data☆108Updated 4 months ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Time-Contrastive Learning☆65Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆65Updated 2 months ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Embed strange attractors using a regularizer for autoencoders☆133Updated 3 years ago
- In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…☆78Updated 13 years ago
- Dynamical Components Analysis☆32Updated last year
- Learning hyperparameters for unsupervised anomaly detection☆38Updated 5 years ago
- ☆25Updated 2 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- Recursive Self-Organizing Map/Neural Gas.☆52Updated 2 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …☆37Updated 3 years ago
- Open source library for combining TDA and Machine Learning☆87Updated last year
- A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python☆63Updated last year
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- An implementation of multivariate projection pursuit regression and univariate classification☆35Updated 3 weeks ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Implementation of the PersLay layer for persistence diagrams☆81Updated last year
- ☆30Updated 6 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago