NVIDIA / spark-rapids-ml
Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
☆63Updated this week
Related projects: ⓘ
- A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.☆118Updated this week
- User tools for Spark RAPIDS☆49Updated this week
- Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark☆36Updated 2 weeks ago
- RAPIDS Accelerator JNI For Apache Spark☆36Updated this week
- Spark RAPIDS plugin - accelerate Apache Spark with GPUs☆785Updated this week
- XGBoost GPU accelerated on Spark example applications☆51Updated 2 years ago
- ☆54Updated 8 months ago
- RAPIDS GPU-BDB☆105Updated 6 months ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆23Updated 11 months ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆138Updated last year
- Spark RAPIDS Container – Docker containers for Spark RAPIDS☆19Updated 2 weeks ago
- RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.☆304Updated last month
- LST-Bench is a framework that allows users to run benchmarks specifically designed for evaluating Log-Structured Tables (LSTs) such as De…☆64Updated last week
- Grouped time series forecasting engine☆36Updated last year
- real-time data + ML pipeline☆54Updated this week
- Introduction to Ray Core Design Patterns and APIs.☆56Updated 8 months ago
- Delta reader for the Ray open-source toolkit for building ML applications☆40Updated 7 months ago
- Point-in-Time optimizations for Apache Spark☆29Updated 8 months ago
- The Internals of Delta Lake☆180Updated last month
- A Python Library to support running data quality rules while the spark job is running⚡☆161Updated last month
- Scaling Python Machine Learning☆44Updated last year
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆70Updated 4 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆73Updated 11 months ago
- Distributed XGBoost on Ray☆137Updated 2 months ago
- TPC-DS benchmark kit with some modifications/fixes☆85Updated last month
- Distribution transparent Machine Learning experiments on Apache Spark☆89Updated 6 months ago
- The Internals of PySpark☆24Updated this week
- Ray-based Apache Beam runner☆41Updated last year
- A portable Pythonic Data Catalog API powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture t…☆147Updated this week
- Example for simple Apache Arrow Flight service with Apache Spark and TensorFlow clients☆36Updated 3 years ago