GPU Accelerated t-SNE for CUDA with Python bindings

Parallel t-SNE implementation with Python and Torch wrappers.

Extensible, parallel implementations of t-SNE

Java Statistical Analysis Tool, a Java library for Machine Learning

Pytorch implementation for t-SNE with cuda to accelerate

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

TorchDR - PyTorch Dimensionality Reduction

Brings bulk and pseudobulk transcriptomics to the tidyverse

Seurat meets tidyverse. The best of both worlds.

Distributed t-SNE via Apache Spark

用Tensorflow实现的深度神经网络。

PANDORA 💻

Python Wrapper for t-SNE Visualization

Object classification with CIFAR-10 using transfer learning

Deep Learning: Image classification, feature visualization and transfer learning with Keras

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.

Explore high-dimensional datasets and how your algo handles specific regions.

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU for computation and video rendering.

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.