litellm.ai
LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
Feast
Feast is an open source feature store for machine learning. It manages an offline store for historical data, a low-latency online store, and a feature server. It generates point-in-time correct feature sets to avoid data leakage and provides a single data access layer abstracting feature storage from retrieval. Installable with pip and initialized through a CLI.
GitHub repo Directory import
Features
- feast init my_feature_repo Source: github.com
Uses
- Avoid data leakage by generating point-in-time correct feature sets Source: github.com
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LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
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0Scenario is a platform for creative production and game assets that brings together image, video, 3D and audio generation models. Users build pipelines as nodes on a canvas and can publish a chain as an app for teammates. It offers custom model training on reference images and connects to assistants and code through Scenario MCP and a REST API.
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0AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
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0Julia Evans writes a personal blog about computer tools and programming topics, with posts organized by category. The site notes that a weekly digest of posts is available by subscription, and mentions that she publishes computer zines at Wizard Zines.
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0SAMOA was an Apache Incubator podling that provided a collection of distributed streaming algorithms for data mining and machine learning tasks such as classification, clustering and regression, plus programming abstractions for developing new algorithms on distributed stream processing engines. Its pluggable architecture allowed it to run on several engines. The podling retired on 2021-03-11.
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