Classification ⚡ JAX

Identifying which category an object belongs to with JAX acceleration.

Applications: Spam detection, image recognition.
JAX-Accelerated: logistic regression, nearest neighbors.
Traditional: Gradient boosting, random forest, and more...

Examples

Regression ⚡ JAX

Predicting continuous values with up to 5x faster JAX acceleration.

Applications: Drug response, stock prices.
JAX-Accelerated: LinearRegression, Ridge, Lasso.
Traditional: Gradient boosting, random forest, and more...

Examples

Clustering ⚡ JAX

Automatic grouping with GPU/TPU acceleration for large datasets.

Applications: Customer segmentation, grouping experiment outcomes.
JAX-Accelerated: K-Means (5x+ faster).
Traditional: HDBSCAN, hierarchical clustering, and more...

Examples

Dimensionality reduction ⚡ JAX

Reducing dimensions with JAX-accelerated linear algebra.

Applications: Visualization, increased efficiency.
JAX-Accelerated: PCA, TruncatedSVD.
Traditional: feature selection, NMF, and more...

Examples

Model selection

Comparing, validating and choosing parameters and models.

Applications: Improved accuracy via parameter tuning.
Algorithms: Grid search, cross validation, metrics, and more...

Examples

Preprocessing ⚡ JAX

Feature extraction and normalization with JAX acceleration.

Applications: Transforming input data for ML algorithms.
JAX-Accelerated: StandardScaler, MinMaxScaler.
Traditional: feature extraction, and more...

Examples