model-monitoring · GitHub Topics

mlops-zoomcamp

@DataTalksClub

#计算机科学#Free MLOps course from DataTalks.Club

机器学习 mlops model-deployment model-monitoring workflow-orchestration

Jupyter Notebook11.24 k

3 个月前

evidently

@evidentlyai

#计算机科学#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.

data-drift Jupyter Notebook pandas-dataframe 机器学习 model-monitoring html-report production-machine-learning machine-learning-operations mlops 数据科学

Jupyter Notebook5.54 k

16 小时前

openllmetry

@traceloop

Open-source observability for your LLM application, based on OpenTelemetry

llmops observability OpenTelemetry 监控 datascience 机器学习 model-monitoring opentelemetry-python

Python5.19 k

8 天前

phoenix

@Arize-ai

AI Observability & Evaluation

ml-observability model-observability ai-roi llmops mlops ai-monitoring ai-observability ml-monitoring model-monitoring umap

Jupyter Notebook4.3 k

6 天前

deepchecks

@deepchecks

#计算机科学#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...

翻译 - 用于验证 ML 模型和数据的测试套件。 Deepchecks 是一个 Python 包，用于以最小的努力全面验证您的机器学习模型和数据。

机器学习 model-validation data-validation mlops 数据科学 Python Jupyter Notebook model-monitoring data-drift

Python3.65 k

8 天前

nannyml

@NannyML

#计算机科学#Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algori...

机器学习 mlops performance-monitoring 数据科学监控 Python data-drift model-monitoring 数据分析

Python988

2 年前