zelros / Ethical-AI-StandardLinks
An Open Standard for Ethical Enterprise-Grade AI
☆18Updated 4 years ago
Alternatives and similar repositories for Ethical-AI-Standard
Users that are interested in Ethical-AI-Standard are comparing it to the libraries listed below
Sorting:
- Practical ideas on securing machine learning models☆36Updated 4 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
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- this repo might get accepted☆28Updated 4 years ago
- General Interpretability Package☆58Updated 2 years ago
- Practical active learning in python☆191Updated 3 years ago
- The ntentional blog - a machine learning journey☆23Updated 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.☆104Updated 3 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 6 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- Automatically labeling training data☆107Updated 6 years ago
- Multivariate Boosted TRee☆63Updated 3 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- automatic data slicing☆34Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Deploy a scikit model using heroku and Flask☆15Updated 2 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- ☆103Updated 2 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 3 months ago
- Bag of, not words, but tricks!☆68Updated last year
- Easy-to-use text representations extraction library based on the Transformers library.☆32Updated 2 years ago
- ☆16Updated 4 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated last month
- A few baselines with a standard tabular model☆38Updated 5 years ago
- A visual analytic system for fair data-driven decision making☆26Updated 2 years ago