10 projects
Kubeflow
Kubeflow is an open source machine learning platform built on Kubernetes that makes deploying and managing ML workflows on Kubernetes simple, portable and scalable. It provides end-to-end orchestration of machine learning pipelines, model training, serving, and experiment tracking.
Contributors
10,327
Organizations
2,277
Software value
$413M
Ray
Ray is an open-source unified framework for scaling AI and Python applications. It provides a simple, universal API for building distributed applications and includes libraries for machine learning, serving, streaming, and more. Ray enables developers to parallelize single-machine code with minimal code changes and scale applications from a laptop to a cluster.
Contributors
8,697
Organizations
1,477
Software value
$49M
ONNX
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
Contributors
8,011
Organizations
988
Software value
$51M
Kserve
The mission of the Project is to develop a highly scalable and standards based model inference platform on Kubernetes for Trusted AI.
Contributors
2,082
Organizations
424
Software value
$217M
Intel XPU Backend for Triton
A backend implementation that enables Triton Inference Server to run inference workloads on Intel XPU hardware accelerators, providing optimized model execution for Intel GPUs and other XPU devices
Contributors
1,034
Organizations
129
Software value
$9.2M
Adlik
Adlik offers a end-to-end optimizing framework for deep learning models whose goal is to accelerate deep learning inference process both on cloud and embedded environments.
Contributors
106
Organizations
7
Software value
$2.7M
Machine Learning eXchange (MLX)
The mission of the Project is to design and implement an open source Data and AI Assets Catalog and Execution Engine that allows the uploading, registration, execution, and deployment of AI pipelines and pipeline components, models, datasets and notebooks.
Contributors
55
Organizations
7
Software value
$376K
ForestFlow
ForestFlow is a scalable policy-based cloud-native machine learning model server. ForestFlow strives to strike a balance between the flexibility it offers data scientists and the adoption of standards while reducing friction between Data Science, Engineering and Operations teams.
Contributors
10
Organizations
7
Software value
$235K
Open AI Accelerator eXchange (OAAX)
This project hasn't been onboarded to LFX Insights.
BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
This project hasn't been onboarded to LFX Insights.