BlazingDB / Welcome_to_BlazingSQL_NotebooksLinks
RAPIDS data science. No setup required.
☆21Updated 4 years ago
Alternatives and similar repositories for Welcome_to_BlazingSQL_Notebooks
Users that are interested in Welcome_to_BlazingSQL_Notebooks are comparing it to the libraries listed below
Sorting:
- Introduction to Dask for PyTorch Workflows☆13Updated 4 years ago
- ☆94Updated 2 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- ☆98Updated 2 years ago
- GPU accelerated cross filtering with cuDF.☆306Updated this week
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated 2 weeks ago
- The fast.ai data ethics course☆17Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆52Updated 4 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- RAPIDS - combined conda package & integration tests for all of RAPIDS libraries☆17Updated this week
- A Streamlit component to render interactive Vega, Vega-Lite, and Altair visualizations and access the selected data from Python☆93Updated 4 years ago
- Dvc + Streamlit = ❤️☆40Updated 2 years ago
- Dockerfile templates for creating RAPIDS Docker Images☆84Updated last week
- 📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projec…☆34Updated 2 years ago
- Talks about vaex☆36Updated 3 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆142Updated last year
- ☆48Updated last year
- Embed Observable notebooks into Streamlit apps!☆90Updated 3 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- DataFrame support for scikit-learn.☆63Updated 4 months ago
- JupyterLab extension to create GitHub commits & pull requests☆119Updated last year
- real-time data + ML pipeline☆53Updated last week
- Slide and notebook used for my talk on vaex at the Pandas summit 2019 @ Lodnon☆11Updated 6 years ago
- ☆20Updated 3 years ago
- End-to-end deep learning on your desktop or server.☆105Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆84Updated 4 months ago
- A minimal example of nbdev based on Allen Downey's Think Python 2nd Ed☆10Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago