Alternatives and similar repositories for spark-rapids-ml

Users that are interested in spark-rapids-ml are comparing it to the libraries listed below

• NVIDIA / spark-rapids-examples
  A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.
  ☆160Updated 2 weeks ago
• NVIDIA / spark-rapids-tools
  User tools for Spark RAPIDS
  ☆63Updated this week
• NVIDIA / spark-rapids
  Spark RAPIDS plugin - accelerate Apache Spark with GPUs
  ☆917Updated this week
• NVIDIA / spark-rapids-jni
  RAPIDS Accelerator JNI For Apache Spark
  ☆49Updated this week
• oap-project / raydp
  RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
  ☆343Updated 3 weeks ago
• NVIDIA / spark-xgboost-examples
  XGBoost GPU accelerated on Spark example applications
  ☆53Updated 3 years ago
• delta-incubator / deltatorch
  ☆58Updated last year
• rapidsai / docker
  Dockerfile templates for creating RAPIDS Docker Images
  ☆80Updated this week
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆81Updated last week
• NVIDIA / spark-rapids-container
  Spark RAPIDS Container – Docker containers for Spark RAPIDS
  ☆21Updated 6 months ago
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• rapidsai / spark-examples
  [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples
  ☆71Updated 5 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆142Updated 9 months ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆71Updated last year
• cfregly / ai-performance-engineering
  ☆79Updated last week
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• NVIDIA / spark-xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆24Updated 10 months ago
• jaceklaskowski / spark-kubernetes-book
  The Internals of Spark on Kubernetes
  ☆71Updated 3 years ago
• apache / incubator-liminal
  Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …
  ☆144Updated last year
• NVIDIA-Merlin / systems
  Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…
  ☆94Updated last year
• logicalclocks / feature-store-api
  Python - Java/Scala API for the Hopsworks feature store
  ☆54Updated this week
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated last week
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆47Updated last year
• oap-project / oap-mllib
  Optimized Spark package to accelerate machine learning algorithms in Apache Spark MLlib.
  ☆22Updated last month
• linkedin / datahub-gma
  General Metadata Architecture
  ☆127Updated last week
• japila-books / pyspark-internals
  The Internals of PySpark
  ☆26Updated 7 months ago
• ray-project / deltacat
  A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to …
  ☆233Updated last week
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆315Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆57Updated 2 years ago
• ray-project / ray_beam_runner
  Ray-based Apache Beam runner
  ☆41Updated last year