Search Packages

opentsne

Extensible, parallel implementations of t-SNE

torchdr

TorchDR - PyTorch Dimensionality Reduction

scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

multicoretsne

Parallel t-SNE implementation with Python and Torch wrappers.

tsnecuda

GPU Accelerated t-SNE for CUDA with Python bindings

mlx-vis

Pure MLX implementations of UMAP, t-SNE, PaCMAP, LocalMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.

embeddings2image

create "Karpathy's style" 2d images out of your image embeddings

knrscore

KNRScore is a Python package for computing K-Nearest-Rank Similarity, a metric that quantifies local structural similarity between two maps or embeddings.

dire-jax

A JAX-based Dimension Reducer

tsne-torch

t-SNE accelerated with PyTorch

scarf-toolkit

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.