cortex
ML platform
A production-ready infrastructure for deploying and managing machine learning models at scale
Production infrastructure for machine learning at scale
8k stars
145 watching
607 forks
Language: Go
last commit: 9 months ago
Linked from 5 awesome lists
infrastructuremachine-learning
Related projects:
Repository | Description | Stars |
---|---|---|
| An MLOps framework for packaging, deploying, and managing machine learning models on Kubernetes at scale | 4,409 |
| A platform for managing machine learning projects from inception to deployment | 19,021 |
| A system designed to store and manage large amounts of time-series data from multiple sources in a scalable and secure manner | 5,490 |
| A unified and scalable machine learning library for large-scale distributed training, model serving, and federated learning. | 4,205 |
| A guide to building production-ready deep learning systems for real-world applications | 4,371 |
| A collection of notes and references on deploying deep learning models in production environments | 4,313 |
| A high-performance serving system for machine learning models in production environments. | 6,195 |
| Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,816 |
| A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks. | 22,340 |
| A tool for packaging and deploying machine learning models in a standard, production-ready container environment. | 8,169 |
| Provides container resource metrics for Kubernetes autoscaling pipelines | 5,880 |
| A framework for efficient and fault-tolerant distributed training of large neural networks on multiple GPUs. | 3,299 |
| A framework for building enterprise LLM-based applications using small, specialized models | 8,303 |
| A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,071 |
| Automates machine learning workflows and generates reports on every pull request. | 4,046 |