koulakis / h-nneLinks
A fast hierarchical dimensionality reduction algorithm.
☆71Updated last month
Alternatives and similar repositories for h-nne
Users that are interested in h-nne are comparing it to the libraries listed below
Sorting:
- Unsupervised visualization of image datasets using contrastive learning☆115Updated 7 months ago
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 3 years ago
- TorchDR - PyTorch Dimensionality Reduction☆180Updated last month
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- Python package for multi-view machine learning☆215Updated 2 years ago
- Contrastive neighbor embeddings☆57Updated 2 months ago
- Explaining dimensionality results using SHAP values☆55Updated this week
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated 3 weeks ago
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 9 months ago
- ☆33Updated 7 months ago
- The long missing library for python confidence intervals☆144Updated last year
- A Python package for intrinsic dimension estimation☆95Updated 3 months ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated last year
- Faster distance calculations in python using numba☆59Updated 2 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆137Updated 2 years ago
- ☆50Updated last year
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- ☆111Updated 3 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces☆127Updated last month
- ☆24Updated 4 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆160Updated 11 months ago
- An implementation of soft-DTW divergences.☆135Updated 4 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Advanced random forest methods in Python☆58Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- L1-regularized least squares with PyTorch☆72Updated 2 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago