Open source platform for the machine learning lifecycle
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Updated
May 11, 2024 - Python
Open source platform for the machine learning lifecycle
🚀 Build and manage real-life ML, AI, and data science projects with ease!
Open Source ML Model Versioning, Metadata, and Experiment Management
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。
Docker for Your ML/DL Models Based on OCI Artifacts
BentoML Example Projects 🎨
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Solution for deploying and managing end-to-end federated learning workflows
Cloud Native Machine Learning Model Registry
Cloud Native ML/DL Platform
Mlflow Docker Image
Polyaxon Clients & Langange SDKS
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Experiment tracking for machine and deep learning projects
MLflow workshop held at Applied Machine Learning Days 2020 in Lausanne
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Machine-Learning orchestration framework. Cloud-based models management environment.
An opinionated framework for deploying, managing, and serving application workloads
Versioned samples and tutorials to get started with Vectice.
MLFlow End to End Workshop at Chandigarh University
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