Open source platform for the machine learning lifecycle
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Updated
May 16, 2024 - Python
Open source platform for the machine learning lifecycle
🚀 Build and manage real-life ML, AI, and data science projects with ease!
Polyaxon Clients & Langange SDKS
An opinionated framework for deploying, managing, and serving application workloads
Open Source ML Model Versioning, Metadata, and Experiment Management
Versioned samples and tutorials to get started with Vectice.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
stable_diffusion_webui的colab部署版本(including English version),下载了所流行插件依赖和并进行初始化配置。拥有mod管理、手机自适应、图片信息本地读取等脚本。
This project applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.
A proof-of-concept on how to install and use Torchserve in various mode
Solution for deploying and managing end-to-end federated learning workflows
Runtime data integration system that empowers any data processing system to capture and query workflow provenance using data observability.
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Docker for Your ML/DL Models Based on OCI Artifacts
ML container made simple
Experiment tracking for machine and deep learning projects
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
MLFlow Workshop Documents
Mlflow Docker Image
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