cc-skuehn / Manifold_LearningLinks
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
Sorting:
- Topological Data Analysis Routines☆147Updated this week
- Convolution dictionary learning for time-series☆131Updated 6 months ago
- Embed strange attractors using a regularizer for autoencoders☆133Updated 4 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Preconditioned ICA for Real Data☆111Updated 2 weeks ago
- ☆32Updated 6 years ago
- Open source library for combining TDA and Machine Learning☆85Updated last year
- Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST☆64Updated 7 years ago
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆42Updated 2 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 6 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆233Updated 5 years ago
- Explorative multivariate statistics in Python☆81Updated 3 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Foundations and Applications☆98Updated 5 years ago
- Probabilistic Principal Component Analysis☆63Updated 8 years ago
- The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regressi…☆39Updated 6 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆226Updated 2 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 7 years ago
- Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization☆97Updated last year
- legend☆205Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 6 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆117Updated last year
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 3 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- A package for Multiple Kernel Learning in Python☆129Updated 2 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 7 months ago
- Python toolbox for nonnegative matrix factorization☆114Updated 7 years ago