#大语言模型#Open-source observability for your LLM application, based on OpenTelemetry
#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...
#计算机科学#nannyml: post-deployment data science in python
#计算机科学#[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
#计算机科学#The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
#计算机科学#A toolkit for evaluating and monitoring AI models in clinical settings
#计算机科学#🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
Version, share, deploy, and monitor models.
A python library to send data to Arize AI!
#计算机科学#Experiments with Model Training, Deployment & Monitoring
#计算机科学#A modern, enterprise-ready business intelligence web application
LLM application tracing based on OpenTelemetry
#计算机科学#This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, trackin...
#计算机科学#create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools
#计算机科学#Repo for my MLOps Zoomcamp project
fastapi + prometheus + grafana 💣
#大语言模型#A comprehensive toolkit for end-to-end continued pre-training, fine-tuning, monitoring, testing and publishing of language models with MLX-LM
#计算机科学#Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
#大语言模型#This repository consists of collected data and code used to conduct studies described in the "Resistance Against Manipulative AI: Key Factors and Possible Actions" article, which was presented at 27th...
#计算机科学#Python library for monitoring machine learning models, detecting data drift and overfitting to ensure robust and reliable performance.