TSNEx is a lightweight, high-performance Python library for t-Distributed Stochastic Neighbor Embedding (t-SNE) built on top of JAX. Leveraging the power of JAX, tsnex offers JIT compilation, automatic differentiation, and hardware acceleration support to efficiently handle high-dimensional data for visualization and clustering tasks.

Use the package manager pip to install tsnex.

pip install tsnex

import tsnex

# Generate some high-dimensional data
key = jax.random.key(0)
X = jax.random.normal(key, shape=(10_000, 50))

# Perform t-SNE dimensionality reduction
X_embedded = tsnex.transform(X, n_components=2)

We welcome contributions to TSNEx! Whether it's adding new features, improving documentation, or reporting issues, please feel free to make a pull request and/or open an issue.

TSNEx is licensed under the MIT License. See the file for more details.