FrancescoCrecchi / Multiscale-Parametric-t-SNELinks
ESANN20 paper code repository. This package is a perplexity-free extension of Parametric t-SNE dimensionality reduction method implemented in `Keras` and compatible with `Scikit-learn`.
☆22Updated 2 years ago
Alternatives and similar repositories for Multiscale-Parametric-t-SNE
Users that are interested in Multiscale-Parametric-t-SNE are comparing it to the libraries listed below
Sorting:
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 2 years ago
- Tools for building and manipulating graphs in Python☆42Updated last month
- Systematically learn and evaluate manifolds from high-dimensional data☆100Updated 2 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Integrative orthogonal non-negative matrix factorization☆31Updated 5 years ago
- Latent spaces for single cells☆21Updated last year
- ☆33Updated 3 months ago
- Here we address the global structure preservation by tSNE and UMAP☆48Updated 5 years ago
- DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression sa…☆19Updated 7 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆41Updated 2 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆114Updated 4 years ago
- ☆16Updated 4 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆148Updated 3 years ago
- Contrastive neighbor embeddings☆54Updated 5 months ago
- Use LSTM neural network for 1D distributional data prediction☆22Updated 2 years ago
- Archetypal Analysis network (AAnet)☆36Updated 6 months ago
- NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chrom…☆27Updated 4 years ago
- Contrastive PCA☆218Updated 9 months ago
- Multislice PHATE for tensor embeddings☆60Updated 4 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆46Updated 5 years ago
- Categorical Variational Autoencoders☆24Updated 3 years ago
- Hierarchical graph clustering☆38Updated 7 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆74Updated last year
- Maximum mean discrepancy comparisons for single cell profiling experiments☆16Updated 3 years ago
- GPU-Parallelized UMAP☆51Updated 6 years ago
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago