hypergol / hypergolLinks
Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, standardised structure for data and ML and parallel processing out-of-the-box.
☆53Updated 2 years ago
Alternatives and similar repositories for hypergol
Users that are interested in hypergol are comparing it to the libraries listed below
Sorting:
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- 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
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆80Updated 3 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- python library for automated dataset normalization☆115Updated last year
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- this repo might get accepted☆28Updated 4 years ago
- 🍦 Deployment tool for online machine learning models☆97Updated 3 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- HiPlot fetcher for experiments logged with MLflow☆14Updated 3 years ago
- Super Simple Similarities Service☆149Updated 2 months ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 5 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated last year
- Toolkit for developing and maintaining ML models☆154Updated last year
- The fast.ai data ethics course☆16Updated 2 years ago
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- Process, visualize and use data easily.☆20Updated last year
- Pipeline components that support partial_fit.☆46Updated 11 months ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated last month
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 3 years ago