Distributed XGBoost on Ray
☆154Jun 25, 2024Updated last year
Alternatives and similar repositories for xgboost_ray
Users that are interested in xgboost_ray are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distributed skorch on Ray Train☆59Sep 21, 2022Updated 3 years ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Nov 6, 2023Updated 2 years ago
- Distributed ML Optimizer☆35Jul 28, 2021Updated 4 years ago
- Pytorch Lightning Distributed Accelerators using Ray☆216Nov 3, 2023Updated 2 years ago
- Tracking Ray Enhancement Proposals☆69Dec 17, 2025Updated 4 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆17Aug 4, 2022Updated 3 years ago
- Tune efficiently any LLM model from HuggingFace using distributed training (multiple GPU) and DeepSpeed. Uses Ray AIR to orchestrate the …☆60Jun 20, 2023Updated 2 years ago
- ☆16Sep 4, 2023Updated 2 years ago
- Exoshuffle-CloudSort☆29Mar 2, 2023Updated 3 years ago
- Run CWTools on your Clausewitz mod PDXScript code in parallel to your builds thanks to GitHub Actions.☆16Mar 10, 2023Updated 3 years ago
- RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.☆371Apr 10, 2026Updated last week
- ODSC 2023 workshop materials on causal graphs using implementations of DoWhy (PyWhy, EconML)☆13Nov 1, 2023Updated 2 years ago
- A scikit-learn wrapper for HpBandSter hyper parameter search.☆22Oct 15, 2022Updated 3 years ago
- pytest plugin that checks URLs☆18May 16, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆25Jan 2, 2023Updated 3 years ago
- Notebooks for the O'Reilly book "Learning Ray"☆351Apr 25, 2024Updated last year
- An Python object protocol for projects to interchange data frame-like data without forcing pandas.DataFrame as the intermediary☆15Apr 9, 2020Updated 6 years ago
- ☆27Jul 26, 2023Updated 2 years ago
- An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial☆35Jan 2, 2022Updated 4 years ago
- A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…☆273Apr 11, 2026Updated last week
- Serialize to and from R and JSON, JavaScript Object Notation☆25Mar 26, 2025Updated last year
- Ray provider for Apache Airflow☆47Feb 7, 2024Updated 2 years ago
- A minimal shared memory object store design☆60Oct 29, 2016Updated 9 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Jan 5, 2023Updated 3 years ago
- ☆44Sep 6, 2021Updated 4 years ago
- ☆17Apr 22, 2025Updated 11 months ago
- A deep learning library for Julia based on Caffe☆33Sep 26, 2015Updated 10 years ago
- ☆109Updated this week
- Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".☆16Apr 7, 2026Updated last week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆42,165Updated this week
- Type inference for Machine Learning pipelines☆26Dec 1, 2025Updated 4 months ago
- Some microbenchmarks and design docs before commencement☆11Feb 1, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Initier la mise à disposition, pour tout citoyen, de techniques d’Intelligence Artificielle destinées à appréhender le nombre important d…☆11Aug 20, 2024Updated last year
- Distributed SQL Query Engine in Python using Ray☆245Oct 2, 2024Updated last year
- Alchemist: an Apache Spark<->MPI interface☆26May 24, 2018Updated 7 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- Tutorial repo for the article "ML in Production"☆12Sep 8, 2018Updated 7 years ago
- Prefect integrations with Ray☆62Mar 19, 2026Updated 3 weeks ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,377Feb 10, 2026Updated 2 months ago