koulakis / h-nne
A fast hierarchical dimensionality reduction algorithm.
☆60Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for h-nne
- ☆33Updated last year
- Contrastive neighbor embeddings☆52Updated 6 months ago
- TorchDR - PyTorch Dimensionality Reduction☆67Updated last month
- Unsupervised visualization of image datasets using contrastive learning☆116Updated 7 months ago
- A Python package for intrinsic dimension estimation☆79Updated 3 months ago
- Faster distance calculations in python using numba☆58Updated last year
- Explaining dimensionality results using SHAP values☆52Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆98Updated 8 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆149Updated 3 years ago
- ☆13Updated 11 months ago
- ☆19Updated last year
- Data Augmentation with Variational Autoencoders (TPAMI)☆136Updated 2 years ago
- Fast and modular sklearn replacement for generalized linear models☆158Updated this week
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆64Updated last week
- CO-Optimal Transport☆42Updated 4 years ago
- Apply maximum-entropy diffeomorphisms to images☆9Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆95Updated 3 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆140Updated 2 years ago
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆71Updated last year
- ☆23Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆68Updated last year
- ☆28Updated 2 years ago
- Vectorizers for a range of different data types☆97Updated this week
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆126Updated 2 weeks ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆19Updated 2 years ago
- L1-regularized least squares with PyTorch☆63Updated last year
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆24Updated 2 years ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆63Updated last week
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆59Updated last year