ivylee / model-cards-and-datasheetsLinks
A collection of machine learning model cards and datasheets.
☆77Updated this week
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:
- Natural language processing support for Pandas dataframes.☆216Updated 5 months ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆172Updated 2 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- 🧬 A JupyterLab extension for annotating data with Prodigy☆189Updated 2 years ago
- A toolkit that streamlines and automates the generation of model cards☆436Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆209Updated 3 years ago
- Bag of, not words, but tricks!☆68Updated last year
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆116Updated last year
- Code accompanying the "Debugging machine learning in production" talk☆30Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- this repo might get accepted☆28Updated 4 years ago
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…☆242Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆278Updated 2 years ago
- Super Simple Similarities Service☆152Updated 3 months ago
- ☆82Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆126Updated 4 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Doubt your data, find bad labels.☆515Updated last year
- fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier☆33Updated 3 years ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated 10 months ago
- A Python module to convert natural language numerics into ints and floats.☆229Updated 10 months ago
- ☄️ Parallel and distributed training with spaCy and Ray☆56Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- The fast.ai data ethics course☆16Updated 2 years ago
- A monolingual and cross-lingual meta-embedding generation and evaluation framework☆80Updated 3 years ago
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.☆39Updated 4 years ago