rapidsai / xgboost-conda
Conda recipes for xgboost
☆12Updated last year
Alternatives and similar repositories for xgboost-conda:
Users that are interested in xgboost-conda are comparing it to the libraries listed below
- ☆12Updated 4 years ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Updated 4 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆47Updated 2 weeks ago
- Collection of python scripts to demonstrate asynchronous programming in python☆11Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Demos using Ray Train☆12Updated 2 years ago
- Talk "Beyond pandas: The great Python dataframe showdown"☆37Updated 2 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- RAPIDS - combined conda package & integration tests for all of RAPIDS libraries☆16Updated this week
- ☆11Updated 6 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- MLflow-tracking server example with Minio and H2O☆18Updated 5 years ago
- Articles on machine learning☆62Updated 2 years ago
- MLOps simplified. One platform, all the functionality you need. Swiss made☆97Updated this week
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆138Updated 2 months ago
- ☆21Updated last year
- Work for Mastering Large Datasets with Python☆18Updated 2 years ago
- ☆19Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated this week
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- An R/Shiny app for time-series segmentation and changepoint detection tasks.☆17Updated 4 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆49Updated 2 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Using MLflow with a PostgreSQL Database Tracking URI and a Minio Artifact URI, and MLflow Registry☆12Updated 4 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆104Updated last year