clarifyhealth / transparencyLinks
Model explanation generator
☆8Updated 9 months ago
Alternatives and similar repositories for transparency
Users that are interested in transparency are comparing it to the libraries listed below
Sorting:
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- ☆15Updated 6 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Project template for highly effective data science workflows☆29Updated last year
- Projects developed by Domino's R&D team☆78Updated 3 years ago
- ☆25Updated 2 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 8 months ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- ☆19Updated 4 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated 6 months ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 3 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- General Interpretability Package☆58Updated 2 years ago
- ☆11Updated 6 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago