Alternatives and similar repositories for Manifold_Learning

Users that are interested in Manifold_Learning are comparing it to the libraries listed below

• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆132Updated last month
• merylldindin / topologyx
  Topological Data Analysis Routines
  ☆147Updated this week
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆114Updated this week
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆99Updated last year
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆85Updated last year
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆239Updated 5 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆44Updated 2 years ago
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆64Updated 7 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆80Updated 4 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆25Updated 7 years ago
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆95Updated 5 years ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆158Updated 8 months ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• rflamary / OTML_DS3_2018
  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
  ☆92Updated 7 years ago
• mohammadbashiri / tensor-decomposition-in-python
  A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
  ☆65Updated last year
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆132Updated 2 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆213Updated last year
• raphaelvallat / entropy
  EntroPy: complexity of time-series in Python (DEPRECATED)
  ☆158Updated 4 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• Rachnog / disentanglment
  Experiments with beta-VAE to learn disentangled representations from the data
  ☆65Updated 6 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆138Updated last year
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 6 years ago
• kumar-shridhar / Master-Thesis-BayesianCNN
  Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
  ☆264Updated 6 years ago