koulakis / h-nneLinks
A fast hierarchical dimensionality reduction algorithm.
☆71Updated 3 weeks ago
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 6 months ago
- Contrastive neighbor embeddings☆57Updated last month
- TorchDR - PyTorch Dimensionality Reduction☆175Updated last month
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 3 years ago
- ☆50Updated last year
- Faster distance calculations in python using numba☆59Updated 2 years ago
- ☆110Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 9 months ago
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆73Updated 2 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆258Updated 2 months ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated last week
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated last year
- A Python package for intrinsic dimension estimation☆95Updated 3 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- Python package for multi-view machine learning☆215Updated 2 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- ☆33Updated 7 months ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- Advanced random forest methods in Python☆58Updated 2 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆173Updated last year
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 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 …☆137Updated 2 years ago
- Explaining dimensionality results using SHAP values☆55Updated 11 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 3 years ago
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆67Updated last week
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago