KlugerLab / FIt-SNE
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
☆594Updated 3 years ago
Alternatives and similar repositories for FIt-SNE:
Users that are interested in FIt-SNE are comparing it to the libraries listed below
- TriMap: Large-scale Dimensionality Reduction Using Triplets☆310Updated 2 years ago
- Dimensionality reduction in very large datasets using Siamese Networks☆332Updated 4 months ago
- Minimum-distortion embedding with PyTorch☆540Updated last year
- Density-preserving data visualization tools den-SNE and densMAP☆110Updated 3 years ago
- ☆713Updated last year
- PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.☆487Updated last month
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆147Updated 3 years ago
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,824Updated 4 months ago
- Extensible, parallel implementations of t-SNE☆1,496Updated 3 months ago
- Python Wrapper for FIt-SNE☆45Updated 3 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆500Updated 6 months ago
- A Python nearest neighbor descent for approximate nearest neighbors☆912Updated 3 months ago
- Exploration of methods for coloring t-SNE.☆220Updated 7 years ago
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,898Updated last year
- Kipoi's model zoo API☆235Updated 9 months ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆265Updated 5 years ago
- Contrastive PCA☆203Updated 4 months ago
- Fast hierarchical clustering routines for R and Python.☆141Updated 7 months ago
- Public facing deeplift repo☆850Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 11 months ago
- ULMFiT for Genomic Sequence Data☆285Updated 5 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆157Updated last month
- Barnes-Hut t-SNE☆899Updated 3 years ago
- ☆470Updated 5 years ago
- Nimfa: Nonnegative matrix factorization in Python☆548Updated 4 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 6 years ago
- The art of using t-SNE for single-cell transcriptomics☆122Updated 2 months ago
- A python wrapper for Barnes-Hut tsne☆406Updated last year
- a framework for training sequence-level deep learning networks☆378Updated 2 months ago
- Understanding the theory behind UMAP☆166Updated 3 months ago