koulakis / h-nne
A fast hierarchical dimensionality reduction algorithm.
☆66Updated 6 months ago
Alternatives and similar repositories for h-nne:
Users that are interested in h-nne are comparing it to the libraries listed below
- ☆33Updated 2 years ago
- TorchDR - PyTorch Dimensionality Reduction☆108Updated last week
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- Contrastive neighbor embeddings☆54Updated 2 months ago
- Unsupervised visualization of image datasets using contrastive learning☆116Updated last month
- Faster distance calculations in python using numba☆59Updated last year
- Unsupervised Domain Adaptation for Time Series Classification☆28Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆145Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆70Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆65Updated 8 months ago
- ☆23Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- ☆13Updated 3 months ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆66Updated 5 months ago
- A simple implementation of UMAP, TSNE and GDR across frameworks and libraries☆13Updated 4 months ago
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 2 years ago
- Python package for multi-view machine learning☆209Updated last year
- GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.☆41Updated 8 months ago
- Uncertainty-aware representation learning (URL) benchmark☆102Updated last month
- A pytorch package for non-negative matrix factorization.☆239Updated 9 months ago
- ☆46Updated 8 months ago
- A Python package for intrinsic dimension estimation☆87Updated last week
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆25Updated 2 years ago
- Benchmark time series data sets for PyTorch☆35Updated last year
- ☆19Updated 4 years ago
- Python-based persistent homology algorithms☆19Updated last year
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- Apply maximum-entropy diffeomorphisms to images☆8Updated last year
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆72Updated 2 years ago
- Hyperbolic Hierarchical Clustering.☆200Updated last year