beringresearch / ivisLinks
Dimensionality reduction in very large datasets using Siamese Networks
☆333Updated 8 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☆316Updated 2 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆508Updated 9 months ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 4 months ago
- Hierarchical Uniform Manifold Approximation and Projection☆235Updated 3 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- A graph-based functional API for building complex scikit-learn pipelines.☆589Updated 2 years ago
- Minimum-distortion embedding with PyTorch☆548Updated last month
- Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)☆598Updated 3 years ago
- A garden for scikit-learn compatible trees☆287Updated 11 months ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 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
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Fast hierarchical clustering routines for R and Python.☆145Updated 3 weeks ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆546Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- Clustering for mixed-type data☆99Updated 10 months ago
- Count models with TensorFlow and Keras☆47Updated 6 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆204Updated 3 years ago
- A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…☆142Updated 3 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 8 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆183Updated 3 years ago
- Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)☆107Updated 6 months ago
- Python implementation of Density-Based Clustering Validation☆171Updated last year
- PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure☆707Updated 3 months ago