Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications

• api
• web-api
• server-sent-events
• subscriptions

Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed

• messaging
• quic
• rust
• streaming

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• pipeline
• pipeline-framework
• machine-learning
• deep-learning

Scalable Full History API Solution for Antelope (former EOSIO) based blockchains

• antelope
• api
• big-data
• blockchain

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

hypermatch is a high-performance ⚡ Go library designed for rapid matching of a large number of rules to events. It processes thousands of events per second 🚀 against extensive rule sets in-memory with minimal latency ⏱️.

• go
• golang
• matching
• matching-engine