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nvidia/spark-rapids 24.10.1

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Scala versions: 2.13 2.12

big-data gpu rapids spark

824 73
thoughtworksinc/compute.scala 0.4.3

Scientific computing with N-dimensional arrays

Scala versions: 2.12 2.11

gpu tensor scientific-computing high-performance ndimensional-arrays scala opencl

200 14
pityka/lamp 0.0.116

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

Scala versions: 3.x 2.13

deep-learning extratrees gpu pytorch gpu-acceleration umap scala scala-library machine-learning neural-networks libtorch tensor

29 2
h2oai/h2o-3 3.30.0.3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Scala versions: 2.11

deep-learning gpu opensource big-data java pca h2o-automl python h2o r machine-learning automl naive-bayes ensemble-learning data-science distributed hadoop gbm spark random-forest

6935 235 173
catboost/catboost 1.2.7

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Scala versions: 2.13 2.12

gpu cuda gbdt tutorial coreml gbm kaggle catboost python r machine-learning decision-trees gradient-boosting categorical-features data-mining big-data gpu-computing data-science

8111 1570 192