opensearch-project / ml-commonsLinks
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
☆123Updated this week
Alternatives and similar repositories for ml-commons
Users that are interested in ml-commons are comparing it to the libraries listed below
Sorting:
- 🆕 Find the k-nearest neighbors (k-NN) for your vector data☆189Updated this week
- Neural search transforms text into vectors and facilitates vector search both at ingestion time and at search time.☆90Updated this week
- For all things OpenSearch plugins. You want to install, or develop a plugin? You've come to the right place.☆57Updated 2 weeks ago
- OpenSearch Benchmark - a community driven, open source project to run performance tests for OpenSearch☆124Updated this week
- Search Request Processor: pipeline for transformation of queries and results inline with a search request.☆26Updated 6 months ago
- ☆49Updated last month
- 🗃 Automate periodic data operations, such as deleting indices at a certain age or performing a rollover at a certain size☆62Updated this week
- Tools to help search relevance engineers and business users tune search results for their OpenSearch applications.☆26Updated this week
- User Behavior Insights plugin for OpenSearch☆27Updated 2 weeks ago
- Query your data using familiar SQL or intuitive Piped Processing Language (PPL)☆144Updated this week
- CuVS integration for Lucene☆35Updated last month
- OpenSearch plugin that enables builders to innovate AI apps on OpenSearch☆45Updated this week
- Synchronize your data across multiple clusters for lower latencies and higher availability☆56Updated last week
- ☆38Updated last week
- Official workloads used by OpenSearch Benchmark (OSB)☆26Updated 3 weeks ago
- User Behavior Insights standard schema specification☆30Updated 5 months ago
- Offers a library of utilities for building Java-based OpenSearch plugins☆24Updated this week
- Run queries in the background and retrieve partial results along the way☆32Updated last week
- Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch☆170Updated 4 months ago
- 📟 Get notified when your data meets certain conditions by setting up monitors, alerts, and notifications☆70Updated last week
- Spark Accelerator framework ; It enables secondary indices to remote data stores.☆37Updated this week
- Improve your OpenSearch, Elasticsearch, Solr, Vectara, Algolia and Custom Search search quality.☆310Updated this week
- Identify atypical data and receive automatic notifications☆75Updated this week
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆16Updated 2 years ago
- Towards an open source stack for e-commerce search☆149Updated 4 months ago
- Manage your detectors and identify atypical data in OpenSearch Dashboards☆35Updated this week
- 📈 Get detailed performance metrics from your cluster independently of the Java Virtual Machine (JVM)☆43Updated last week
- Notifications plugin for OpenSearch enables other plugins to send notifications via Email, Slack, Amazon Chime, Custom web-hook etc chann…☆33Updated this week
- Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.☆385Updated 3 weeks ago
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆17Updated this week