beringresearch / ivisLinks
Dimensionality reduction in very large datasets using Siamese Networks
☆338Updated 10 months ago
Alternatives and similar repositories for ivis
Users that are interested in ivis are comparing it to the libraries listed below
Sorting:
- TriMap: Large-scale Dimensionality Reduction Using Triplets☆319Updated last week
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆512Updated last month
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆159Updated 6 months ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- Fast hierarchical clustering routines for R and Python.☆152Updated last week
- A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…☆142Updated 3 years ago
- Hierarchical Uniform Manifold Approximation and Projection☆236Updated 5 months ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 3 years ago
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)☆601Updated 3 years ago
- Minimum-distortion embedding with PyTorch☆558Updated last month
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆89Updated 3 years ago
- A graph-based functional API for building complex scikit-learn pipelines.☆589Updated 2 years ago
- Python implementation of Density-Based Clustering Validation☆173Updated last year
- Scikit-learn compatible estimation of general graphical models☆246Updated last month
- Clustering for mixed-type data☆99Updated last year
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 10 months ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 4 years ago
- Contrastive PCA☆217Updated 9 months ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 7 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- Practical active learning in python☆190Updated 2 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆136Updated last year
- Multiple Pairwise Comparisons (Post Hoc) Tests in Python☆371Updated this week
- Semi-Supervised t-SNE using a Bayesian prior based on partial labelling☆42Updated 8 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated 3 months ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆74Updated 2 weeks ago