Open source platform for the machine learning lifecycle
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Updated
Oct 9, 2024 - Python
Open source platform for the machine learning lifecycle
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
BentoML Example Projects 🎨
Solution for deploying and managing end-to-end federated learning workflows
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Mlflow Docker Image
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
An opinionated framework for deploying, managing, and serving application workloads
ML container made simple
Zoomaker - Friendly house keeping for your AI model zoo and related resources
A lightweight command line interface for the management of arbitrary machine learning tasks
Open Ethics Data Passport
Contains the python client library for ML Aide
Simple Python Flask web application wrapping a pickle ML model
The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @NVIDIA
Multi Cloud Model Management System for Machine Learning
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
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