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The Cloud Native AI Platform
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.
Instant Kubernetes-Native Application Observability
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
AI Infra / AI Orchestration / AI Control Plane
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Accelerated deep learning R&D
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Elyra extends JupyterLab with an AI centric approach.
- notebooks
- notebook-jupyter
- jupyterlab
- jupyterlab-extensions
MLBox is a powerful Automated Machine Learning python library.
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
Hopsworks - Data-Intensive AI platform with a Feature Store
Upscale an image by a factor of 4, while generating photo-realistic details.
R interface for Apache Spark
Sample applications built using AWS' Amazon Machine Learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
Framework and Library for Distributed Online Machine Learning
food image to recipe with deep convolutional neural networks.