FeatUp VS spring-ai

Compare FeatUp vs spring-ai and see what are their differences.

FeatUp

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024 (by mhamilton723)

spring-ai

An Application Framework for AI Engineering (by spring-projects)
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FeatUp spring-ai
1 4
1,056 2,083
- 34.4%
8.0 9.8
10 days ago 3 days ago
Jupyter Notebook Java
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FeatUp

Posts with mentions or reviews of FeatUp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

spring-ai

Posts with mentions or reviews of spring-ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing FeatUp and spring-ai you can also consider the following projects:

makeMoE - From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

spring-ai - An Application Framework for AI Engineering [Moved to: https://github.com/spring-projects/spring-ai]

com.openai.unity - A Non-Official OpenAI Rest Client for Unity (UPM)

ChatGPTClone - ChatGPTClone using Hilla and Spring AI

hilla - Build better business applications, faster. No more juggling REST endpoints or deciphering GraphQL queries. Hilla seamlessly connects Spring Boot and React to accelerate application development.

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

FLaNK-python-processors - Many processors

mergekit - Tools for merging pretrained large language models.

antora

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.