NVIDIA / spark-xgboost

Related projects ⓘ

Alternatives and complementary repositories for spark-xgboost

• NVIDIA / spark-xgboost-examples
  XGBoost GPU accelerated on Spark example applications
  ☆52Updated 2 years ago
• intel-analytics / BigDL-core
  Core HW bindings and optimizations for BigDL
  ☆33Updated 3 months ago
• NVIDIA / spark-rapids-ml
  Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
  ☆68Updated this week
• SeldonIO / mlgraph
  Machine Learning Inference Graph Spec
  ☆21Updated 5 years ago
• NVIDIA / spark-rapids-examples
  A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.
  ☆127Updated this week
• kubeflow / xgboost-operator
  Incubating project for xgboost operator
  ☆76Updated 2 years ago
• AnacondaRecipes / tensorflow_recipes
  Tensorflow conda recipes
  ☆27Updated last year
• rapidsai / spark-examples
  [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples
  ☆70Updated 4 years ago
• ForestFlow / ForestFlow
  ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
  ☆72Updated 9 months ago
• cerndb / SparkDLTrigger
  Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"
  ☆29Updated 5 months ago
• ray-project / mlflow-ray-serve
  MLFlow Deployment Plugin for Ray Serve
  ☆42Updated 2 years ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆43Updated last year
• NVIDIA / gbm-bench
  A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
  ☆38Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 2 years ago
• amogkam / batch-inference-benchmarks
  ☆15Updated last year
• linkedin / gdmix
  A deep ranking personalization framework
  ☆132Updated last year
• mlflow / mlflow-apps
  MLflow App Library
  ☆75Updated 5 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆138Updated 2 weeks ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆90Updated 9 months ago
• shashankprasanna / kubeflow-pipelines-sagemaker-examples
  Examples for using Amazon SageMaker components in Kubeflow Pipelines
  ☆22Updated 4 years ago
• alexgittens / alchemist
  Alchemist: an Apache Spark<->MPI interface
  ☆26Updated 6 years ago
• linkedin / Avro2TF
  Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.
  ☆126Updated 4 years ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 4 years ago
• aws / sagemaker-sparkml-serving-container
  This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
  ☆53Updated last year
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆107Updated 8 months ago
• amplab / MLI
  An API for Distributed Machine Learning
  ☆154Updated 8 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆144Updated 4 months ago
• easeml / automl
  A Scalable Auto-ML System
  ☆51Updated last year
• logicalclocks / hops-util-py
  Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai
  ☆27Updated 5 months ago
• logicalclocks / hops-tensorflow
  HopsYARN Tensorflow Framework.
  ☆33Updated 5 years ago