24 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
10,532
Organizations
2,311
Software value
$433M
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
8,848
Organizations
1,503
Software value
$50M
Weights & Biases
Weights & Biases is a machine learning platform that helps teams track experiments, manage datasets, and collaborate on ML projects. It provides tools for experiment tracking, model versioning, dataset versioning, and visualization of machine learning metrics.
Contributors
4,780
Organizations
1,040
Software value
$94M
Label Studio
Label Studio is an open source data labeling platform for annotating text, images, audio, video and other data types. It provides a web interface for creating labeled datasets for machine learning and AI applications, with support for multiple annotation types, project management, and team collaboration.
Contributors
3,547
Organizations
549
Software value
$18M
MindsDB
MindsDB is an open-source AI database that enables machine learning capabilities directly within databases. It allows users to make predictions using SQL queries by integrating AI models with existing databases, making it easier to develop, train and deploy ML models for various applications.
Contributors
3,163
Organizations
475
Software value
$9M
Flyte
Flyte is a container-native, type-safe workflow and pipelines platform optimized for large scale processing and machine learning written in Golang.
Contributors
1,866
Organizations
353
Software value
$81M
Feast
Feast is the bridge between your data and your machine learning models allowing teams to register, ingest, serve, and monitor features in production.
Contributors
1,486
Organizations
394
Software value
$14M
Seldon Core
Seldon Core is an open-source platform for deploying, managing and scaling machine learning models on Kubernetes. It provides a production-ready solution for serving models with features like A/B testing, canary deployments, monitoring, and advanced traffic routing patterns.
Contributors
1,004
Organizations
271
Software value
$26M
AWS Deep Learning Containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Contributors
803
Organizations
81
Software value
$15M
DVC
🦉 Data Versioning and ML Experiments
Contributors
784
Organizations
180
Software value
$2.4M
H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Contributors
754
Organizations
88
Software value
$34M
Ersilia Model Hub
The Ersilia Model Hub is an open-source platform that provides access to AI/ML models for drug discovery and biomedical research. It enables scientists to deploy and use pre-trained models through a standardized interface, focusing on making computational drug discovery tools more accessible to the broader scientific community.
Contributors
495
Organizations
41
Software value
$1.1M
Determined AI
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Contributors
485
Organizations
66
Software value
$21M
CLAIMED
CLAIMED (Component Library for AI, Machine Learning, ETL and Data Science) is a runtime and programming language agnostic Data & AI component framework abstracting away all complexity for advanced MLOps and TrustedAI.
Contributors
335
Organizations
16
Software value
$4.6M
Substra
The mission of the Project is to design and implement an open source framework for traceable ML orchestration on decentralized sensitive data.
Contributors
167
Organizations
19
Software value
$5.6M
Feathr
The mission of the Project is to develop an enterprise-grade, high performance feature store.
Contributors
165
Organizations
25
Software value
$6.2M
InfiniEdge AI
InfiniEdge AI appears to be an edge computing and artificial intelligence project focused on deploying and managing AI workloads at the network edge. The project likely involves edge AI capabilities and distributed computing solutions under the Linux Foundation Edge umbrella.
Contributors
42
Organizations
5
Software value
$291M
Archived
TonY Project
The mission of the Project is to design and implement an open source framework to run distributed deep learning jobs reliably on computing infrastructures.
Contributors
24
Organizations
1
Amazon SageMaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This project hasn't been onboarded to LFX Insights.
Grand Challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
This project hasn't been onboarded to LFX Insights.
Texera
Collaborative Machine-Learning-Centric Data Analytics Using Workflows
This project hasn't been onboarded to LFX Insights.