rapidsai / xgboost
Fork of dmlc/xgboost for RAPIDS + XGBoost integration
☆27Updated last year
Related projects: ⓘ
- XGBoost GPU accelerated on Spark example applications☆51Updated 2 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆70Updated 4 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆138Updated last year
- Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.☆31Updated 9 months ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆43Updated last year
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆23Updated last year
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- Python client for RedisAI☆88Updated last year
- Common build environment used by gpuCI for building RAPIDS☆19Updated last year
- MLFlow Deployment Plugin for Ray Serve☆41Updated 2 years ago
- ☆93Updated 4 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆87Updated 5 months ago
- Kubeflow example of machine learning/model serving☆35Updated 4 years ago
- FIL backend for the Triton Inference Server☆68Updated this week
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆135Updated 5 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆50Updated 10 months ago
- Common library for serving TensorFlow, XGBoost and scikit-learn models in production.☆139Updated last year
- Incubating project for xgboost operator☆76Updated 2 years ago
- RAPIDS GPU-BDB☆105Updated 6 months ago
- Spark ML Lib serving library☆48Updated 6 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 2 years ago
- RedisAI showcase☆55Updated 5 months ago
- Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)☆74Updated 10 months ago
- Utilities for passing TensorFlow-related metadata between tools☆106Updated 2 weeks ago
- 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
- ☆37Updated 5 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆81Updated last year
- Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai☆27Updated 3 months ago
- ☆12Updated 4 years ago
- Randomized SVD of large sparse matrices on Spark☆77Updated 2 years ago