NVIDIA / spark-rapids-mlLinks
Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
☆87Updated last week
Alternatives and similar repositories for spark-rapids-ml
Users that are interested in spark-rapids-ml are comparing it to the libraries listed below
Sorting:
- A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.☆166Updated this week
- User tools for Spark RAPIDS☆69Updated this week
- Spark RAPIDS plugin - accelerate Apache Spark with GPUs☆958Updated this week
- Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark☆44Updated last week
- XGBoost GPU accelerated on Spark example applications☆52Updated 3 years ago
- RAPIDS Accelerator JNI For Apache Spark☆53Updated this week
- RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.☆360Updated last month
- RAPIDS GPU-BDB☆108Updated last year
- Dockerfile templates for creating RAPIDS Docker Images☆84Updated this week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆24Updated last year
- ☆59Updated 2 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆72Updated 5 years ago
- FIL backend for the Triton Inference Server☆87Updated 2 weeks ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆143Updated last year
- Distributed XGBoost on Ray☆152Updated last year
- This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.☆451Updated last year
- The Internals of Spark on Kubernetes☆72Updated 3 years ago
- Performance optimization for Spark running on Kubernetes☆89Updated 5 years ago
- Ray-based Apache Beam runner☆42Updated 2 years ago
- Introduction to Ray Core Design Patterns and APIs.☆74Updated 2 years ago
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …☆144Updated last year
- Scaling Python Machine Learning☆53Updated 2 years ago
- A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…☆267Updated last week
- Delta reader for the Ray open-source toolkit for building ML applications☆45Updated 2 years ago
- Utilities for Dask and CUDA interactions☆319Updated last week
- Incubating project for xgboost operator☆77Updated 4 years ago
- General Metadata Architecture☆135Updated last week
- Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.☆301Updated this week
- Spark RAPIDS Container – Docker containers for Spark RAPIDS☆21Updated last year
- Ray - A curated list of resources: https://github.com/ray-project/ray☆79Updated 3 months ago