lmcinnes / sstsneLinks
Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
☆42Updated 8 years ago
Alternatives and similar repositories for sstsne
Users that are interested in sstsne are comparing it to the libraries listed below
Sorting:
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- ☆98Updated 7 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 2 months ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Fast hierarchical clustering routines for R and Python.☆152Updated last week
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- ☆74Updated 6 years ago
- Koolmogorov is a Python library based on CompLearn☆70Updated 8 years ago
- Bayesian Factorization with Side Information in C++ with Python wrapper☆41Updated 3 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆33Updated 7 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆94Updated 6 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 5 years ago
- A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…☆74Updated 3 years ago
- Python toolbox for nonnegative matrix factorization☆114Updated 7 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- 🦅Hyperparameter optimization for machine learning pipelines 🦅☆74Updated 4 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last month
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆30Updated 4 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 7 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- scikit-fusion: Data fusion via collective latent factor models☆148Updated 2 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆99Updated 2 months ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆159Updated 6 months 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
- Randomized online matrix factorization☆140Updated 5 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago