ivylee / model-cards-and-datasheetsLinks
A collection of machine learning model cards and datasheets.
β79Updated last month
Alternatives and similar repositories for model-cards-and-datasheets
Users that are interested in model-cards-and-datasheets are comparing it to the libraries listed below
Sorting:
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ82Updated 3 years ago
- A toolkit that streamlines and automates the generation of model cardsβ437Updated 2 years ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning woβ¦β171Updated 2 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.β30Updated 3 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β208Updated 3 years ago
- Natural language processing support for Pandas dataframes.β217Updated 6 months ago
- Super Simple Similarities Serviceβ154Updated 5 months ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β117Updated last year
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text dataβ¦β243Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β149Updated last year
- this repo might get acceptedβ28Updated 4 years ago
- Bag of, not words, but tricks!β68Updated last year
- π¦ Quickly annotate data from the comfort of your Jupyter notebookβ280Updated 2 years ago
- 𧬠A JupyterLab extension for annotating data with Prodigyβ189Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.β469Updated 2 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)β156Updated 2 years ago
- Doubt your data, find bad labels.β515Updated last year
- automatic data slicingβ34Updated 4 years ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β263Updated 2 years ago
- The fast.ai data ethics courseβ17Updated 2 years ago
- A library that implements fairness-aware machine learning algorithmsβ126Updated 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 systemβ77Updated 2 years ago
- βοΈ Parallel and distributed training with spaCy and Rayβ56Updated 2 years ago
- Concept drift monitoring for HA model servers.β102Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.β214Updated 11 months ago
- Code accompanying the "Debugging machine learning in production" talkβ30Updated 3 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++β87Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.β108Updated last year
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β182Updated last year
- Data Analysis Baseline Libraryβ133Updated 10 months ago