sciai-lab / UMAPs-true-lossLinks
Uniform Manifold Approximation and Projection
☆13Updated 4 years ago
Alternatives and similar repositories for UMAPs-true-loss
Users that are interested in UMAPs-true-loss are comparing it to the libraries listed below
Sorting:
- ☆33Updated 8 months ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- ☆10Updated last year
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- Hypergraph Factorisation☆26Updated last year
- ☆10Updated 3 years ago
- ☆56Updated 7 months ago
- HiDeF (Hierarchical community Decoding Framework)☆15Updated last year
- ☆28Updated 3 years ago
- ☆17Updated last year
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆76Updated last month
- Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.☆34Updated 2 years ago
- ☆15Updated 3 years ago
- Official implementation of Joint Multidimensional Scaling☆24Updated 2 years ago
- Contrastive neighbor embeddings☆57Updated 2 months ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- ☆15Updated 2 years ago
- ☆20Updated 4 years ago
- Knockoffs for controlled variable selection☆40Updated 6 months ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆42Updated 2 years ago
- Adversarial generation of gene expression data using Generative Adversarial Networks☆29Updated 4 years ago
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago
- Code for paper "Principled feature attribution for unsupervised gene expression analysis"☆12Updated 2 years ago
- ☆64Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- Categorical Variational Autoencoders☆24Updated 3 years ago
- ☆19Updated last year
- Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.…☆21Updated 3 years ago
- ☆10Updated 4 years ago