Alternatives and similar repositories for spark-xgboost

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

• NVIDIA / spark-xgboost-examples
  XGBoost GPU accelerated on Spark example applications
  ☆52Updated 2 years ago
• rapidsai / spark-examples
  [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples
  ☆70Updated 4 years ago
• kubeflow / xgboost-operator
  Incubating project for xgboost operator
  ☆77Updated 3 years ago
• intel / BigDL-core
  Core HW bindings and optimizations for BigDL
  ☆33Updated 10 months ago
• NVIDIA / spark-rapids-ml
  Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
  ☆78Updated this week
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆148Updated 11 months ago
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• NVIDIA / gbm-bench
  A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
  ☆38Updated 2 years ago
• criteo / tf-yarn
  Train TensorFlow models on YARN in just a few lines of code!
  ☆88Updated last year
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆141Updated 7 months ago
• ForestFlow / ForestFlow
  ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
  ☆73Updated last year
• rapidsai / xgboost
  Fork of dmlc/xgboost for RAPIDS + XGBoost integration
  ☆28Updated 2 years ago
• SeldonIO / mlgraph
  Machine Learning Inference Graph Spec
  ☆21Updated 5 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆90Updated last year
• Hydrospheredata / spark-ml-serving
  Spark ML Lib serving library
  ☆48Updated 7 years ago
• cerndb / SparkDLTrigger
  Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"
  ☆29Updated 11 months ago
• NVIDIA / spark-rapids-examples
  A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.
  ☆153Updated this week
• easeml / automl
  A Scalable Auto-ML System
  ☆53Updated 2 years ago
• mlflow / mlflow-apps
  MLflow App Library
  ☆78Updated 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.
  ☆127Updated 5 years ago
• logicalclocks / hops-util-py
  Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai
  ☆27Updated 11 months ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆52Updated last year
• linkedin / gdmix
  A deep ranking personalization framework
  ☆134Updated last year
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆46Updated last year
• criteo / Spark-RSVD
  Randomized SVD of large sparse matrices on Spark
  ☆77Updated 2 years ago
• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆78Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• h2oai / h2o-kubeflow
  ☆37Updated 6 years ago
• lfai / proposing-projects
  This repo contains the LF AI & Data Project Proposal Process and Project Lifecycle. They explain the process to host new projects in LF A…
  ☆35Updated 2 months ago
• tensorflow / ngraph-bridge
  TensorFlow-nGraph bridge
  ☆136Updated 4 years ago