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Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Created
2020-11-25
2,406 commits to main branch, last one 2 days ago
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and model...
Created
2021-10-11
1,496 commits to main branch, last one 9 days ago
Algorithms for outlier, adversarial and drift detection
Created
2019-10-07
739 commits to master branch, last one 10 days ago
nannyml: post-deployment data science in python
Created
2022-01-26
1,250 commits to main branch, last one about a month ago
Curated list of open source tooling for data-centric AI on unstructured data.
nlp
data-drift
awesome-list
noisy-labels
data-curation
deep-learning
bias-detection
explainable-ai
feature-vector
synthetic-data
active-learning
computer-vision
data-centric-ai
data-versioning
machine-learning
outlier-detection
data-visualization
documentation-only
uncertainty-estimation
robust-machine-learning
Created
2023-02-27
34 commits to main branch, last one about a year ago
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Created
2022-05-02
124 commits to master branch, last one 2 months ago
Frouros: an open-source Python library for drift detection in machine learning systems.
Created
2022-03-16
1,008 commits to main branch, last one about a month ago
Toolkit for evaluating and monitoring AI models in clinical settings
Created
2022-02-21
531 commits to main branch, last one 3 days ago
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Created
2023-10-05
288 commits to main branch, last one about a year ago
A comprehensive solution for monitoring your AI models in production
Created
2024-06-19
219 commits to main branch, last one 2 days ago
Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
Created
2022-05-27
239 commits to dev branch, last one about a year ago
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Created
2022-04-20
1 commits to main branch, last one 2 years ago
AI-powered Autonomous Data System
Created
2024-01-29
67 commits to main branch, last one 5 days ago
Passively collect images for computer vision datasets on the edge.
Created
2023-04-12
20 commits to main branch, last one about a year ago