BBVA / mercury-robustLinks
mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.
☆19Updated 3 months ago
Alternatives and similar repositories for mercury-robust
Users that are interested in mercury-robust are comparing it to the libraries listed below
Sorting:
- mercury-monitoring is a library to monitor data and model drift☆14Updated 2 months ago
- mercury-explainability is a library with implementations of different state-of-the-art methods in the field of explainability. They are d…☆16Updated 2 months ago
- Reels is a library for analyzing sequences of events from transactional data to predict when related target events may occur in the futur…☆14Updated last month
- Study the temporal performance degradation of machine learning models.☆16Updated last year
- 🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of …☆101Updated last year
- ☆115Updated last year
- python jupyter notebook tutorials☆12Updated 4 months ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- A library for Time Series EDA (exploratory data analysis)☆69Updated 9 months ago
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆98Updated 2 years ago
- mercury-graph is a Python library that offers graph analytics capabilities with a technology-agnostic API.☆30Updated 2 months ago
- Template to run Streamlit apps on GitHub Codespaces☆29Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆50Updated last year
- A repository that showcases how you can use ZenML with Git☆69Updated 3 weeks ago
- Retrieval Augmented Generation applications☆26Updated last year
- home page of sorts☆21Updated 2 weeks ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated last month
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆25Updated 4 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- This repository contains the source code for running llamaindex tutorials from https://howaibuildthis.substack.com/☆40Updated last year
- Use sync mode Playwright interactively, inside a Jupyter notebook☆14Updated 2 months ago
- Kedro Plugin to support running pipelines on Kubernetes using Airflow.☆28Updated 2 months ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- ⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!☆23Updated last year
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆97Updated last month
- Render notebooks like nbviewer, but using Quarto as the renderer☆105Updated last month
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 9 months ago
- A Causal AI package for causal graphs.☆57Updated last month
- ☆71Updated 6 months ago