maxfrenzel / CompressionVAE
General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
☆158Updated 3 months ago
Alternatives and similar repositories for CompressionVAE:
Users that are interested in CompressionVAE are comparing it to the libraries listed below
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- Dimensionality reduction in very large datasets using Siamese Networks☆332Updated 7 months ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated last month
- TriMap: Large-scale Dimensionality Reduction Using Triplets☆313Updated 2 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆187Updated 3 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆131Updated last year
- Hierarchical Uniform Manifold Approximation and Projection☆235Updated 2 months ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization☆97Updated 11 months ago
- Repo for open sourcing the NAMs.☆25Updated 4 years ago
- Techniques to cluster very noisy data (dropouts or random noise)☆66Updated 5 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- Expanding Explainable K-Means Clustering☆94Updated 2 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆196Updated 2 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Mapper implementation (Topological Data Analysis) in Python☆65Updated 6 years ago
- Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST☆64Updated 6 years ago
- Clustering for mixed-type data☆99Updated 9 months ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆187Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- Explaining dimensionality results using SHAP values☆54Updated 3 months ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 6 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆230Updated 6 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆79Updated 3 years ago