lmcinnes / sstsneLinks
Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
☆42Updated 9 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 10 years ago
- ☆99Updated 7 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 6 months ago
- Koolmogorov is a Python library based on CompLearn☆70Updated 8 years ago
- Fast hierarchical clustering routines for R and Python.☆154Updated 2 weeks ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆61Updated 2 years ago
- convert a lot of zeros and ones to fewer real numbers☆23Updated 11 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 This repository is no longer being updated.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
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆74Updated 7 years ago
- Bayesian Factorization with Side Information in C++ with Python wrapper☆41Updated 4 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- Small module with Cluster Validity Indexes (CVI)☆42Updated 2 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆160Updated 11 months ago
- A Python package for hubness analysis and high-dimensional data mining☆46Updated last year
- Vectorizers for a range of different data types☆103Updated 2 months ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…☆143Updated 4 years ago
- Notebooks in support of the UMAP paper☆44Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Mapper implementation (Topological Data Analysis) in Python☆64Updated 7 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆49Updated 5 years ago
- Dimensionality reduction in very large datasets using Siamese Networks☆339Updated last month
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 4 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆101Updated 7 months ago