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...
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...
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...
Dimensionality reduction ⚡ JAX
Reducing dimensions with JAX-accelerated linear algebra.
Applications: Visualization, increased efficiency. JAX-Accelerated: PCA, TruncatedSVD. Traditional: feature selection, NMF, and more...
Model selection
Comparing, validating and choosing parameters and models.
Applications: Improved accuracy via parameter tuning. Algorithms: Grid search, cross validation, metrics, and more...
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...