Ashton-Sidhu / aethosLinks
Automated Data Science and Machine Learning library to optimize workflow.
☆105Updated 2 years ago
Alternatives and similar repositories for aethos
Users that are interested in aethos are comparing it to the libraries listed below
Sorting:
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 5 months ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 4 years ago
- Data Analysis Baseline Library☆133Updated last year
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆74Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- 🍦 Deployment tool for online machine learning models☆98Updated 3 years ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆206Updated 3 years ago
- python library for automated dataset normalization☆117Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated this week
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 6 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 4 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 5 years ago
- Various methods for generating synthetic data for data science and ML☆81Updated 4 years ago
- A library for composing end-to-end tunable machine learning pipelines.☆122Updated 10 months ago
- ☆96Updated 5 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)☆549Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- Python package for publishing Jupyter Notebooks as Medium blogposts☆149Updated 2 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- An easy to use waterfall chart function for Python☆164Updated 4 years ago