rapidsai / gpu-bdbLinks
RAPIDS GPU-BDB
☆108Updated last year
Alternatives and similar repositories for gpu-bdb
Users that are interested in gpu-bdb are comparing it to the libraries listed below
Sorting:
- Python bindings for UCX☆139Updated 4 months ago
- Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.☆301Updated this week
- Utilities for Dask and CUDA interactions☆319Updated last week
- The Foundation for All Legate Libraries☆233Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 4 years ago
- Dockerfile templates for creating RAPIDS Docker Images☆84Updated this week
- KvikIO - High Performance File IO☆240Updated this week
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆137Updated 6 years ago
- RAPIDS - combined conda package & integration tests for all of RAPIDS libraries☆17Updated last week
- Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark☆44Updated 2 weeks ago
- GPU accelerated cross filtering with cuDF.☆306Updated this week
- ☆21Updated 4 years ago
- Morpheus Runtime Core (MRC)☆51Updated 2 weeks ago
- Distributed XGBoost on Ray☆152Updated last year
- FlorDB 🌻☆158Updated 3 months ago
- Ray-based Apache Beam runner☆42Updated 2 years ago
- XGBoost GPU accelerated on Spark example applications☆52Updated 3 years ago
- FIL backend for the Triton Inference Server☆87Updated last week
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated 2 months ago
- Ibis Substrait Compiler☆109Updated last week
- RAPIDS Memory Manager☆681Updated this week
- A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.☆38Updated 3 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆142Updated last year
- Python bindings for NVTX☆67Updated 2 years ago
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆119Updated last month
- Incubating project for xgboost operator☆77Updated 4 years ago
- RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.☆360Updated last week
- A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.☆167Updated last week
- Ray provider for Apache Airflow☆47Updated 2 years ago
- ☆103Updated 3 years ago