orcaman / nb_to_htmlLinks
An HTTP endpoint to create on-demand dynamic HTML reports powered by Jupyter Notebooks
☆18Updated 4 years ago
Alternatives and similar repositories for nb_to_html
Users that are interested in nb_to_html are comparing it to the libraries listed below
Sorting:
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated last week
- Examples + Visualizations of datasets modeled using automl-gs☆16Updated 6 years ago
- A bit of extra usability for sqlalchemy v2.☆78Updated last year
- Automated Data Science and Machine Learning library to optimize workflow.☆105Updated 2 years ago
- Machine learning prediction in pure Python☆86Updated 5 years ago
- Primrose modeling framework for simple production models☆33Updated last year
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- Config files for setting up Multitenant Kubeflow on AWS with spot instances☆10Updated 5 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 6 months ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated 2 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- python library for automated dataset normalization☆117Updated 2 years ago
- Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…☆30Updated 7 years ago
- Examples how MLJAR can be used☆60Updated 2 years ago
- 🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)☆141Updated 2 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 6 years ago
- Python ELT Studio, an application for building ELT (and ETL) data flows.☆58Updated 4 years ago
- zero-code hyperparameters optimization framework☆14Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 9 months ago
- Set-oriented Operations in Pandas☆24Updated 5 years ago
- Server that simplifies connecting pandas to a realtime data feed, testing hypothesis and visualizing results in a web browser☆33Updated 2 years ago
- Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.☆81Updated last year
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated last year
- ☆31Updated 4 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Code showing how to add metadata and versioning to an ML model base class.☆11Updated 3 years ago
- ☀️🦶 A lightweight framework for collaborative, open-source feature engineering☆33Updated 4 years ago