sean-mcclure / machine_flowLinks
Machine Flow enables visual execution and tracking of machine learning workflows. Users dynamically create dependency graphs, with each node responsible for executing a task and displaying results.
☆62Updated 6 years ago
Alternatives and similar repositories for machine_flow
Users that are interested in machine_flow are comparing it to the libraries listed below
Sorting:
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- ☆96Updated 5 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Accelerate data science☆116Updated 4 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker☆136Updated last year
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and …☆9Updated 7 years ago
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated last year
- Automated machine learning (AutoML) with grammar-based genetic programming☆54Updated last year
- Deploy AutoML as a service using Flask☆226Updated 7 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
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated 6 months ago
- Public repository for DSS plugins☆101Updated last month
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated last week
- Tutorial repo for the article "ML in Production"☆30Updated 2 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆99Updated last week
- python library for automated dataset normalization☆116Updated last year
- Process Mining scripting environment☆46Updated 5 years ago
- General Interpretability Package☆58Updated 2 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Project template for highly effective data science workflows☆29Updated last year
- Code and notebooks for a talk given at PyBay, 2018-08-19☆48Updated 4 years ago
- Synthetic data generation for graph ML experiments☆22Updated 4 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago