https://github.com/jesperancinha/organic-growth-app

Discovery of LLM and prediction models in Kotlin and using them to build a website
https://github.com/jesperancinha/organic-growth-app

ai artificial-intelligence code deep-learning del github gradle java kotlin kotlindl llm machine-learning maven ml neural-networks neural-networks-and-deep-learning tensor-flow

Last synced: 5 days ago
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Discovery of LLM and prediction models in Kotlin and using them to build a website

• Host: GitHub
• URL: https://github.com/jesperancinha/organic-growth-app
• Owner: jesperancinha
• License: apache-2.0
• Created: 2024-09-16T15:57:16.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-26T18:55:41.000Z (11 days ago)
• Last Synced: 2024-10-27T20:07:12.259Z (9 days ago)
• Topics: ai, artificial-intelligence, code, deep-learning, del, github, gradle, java, kotlin, kotlindl, llm, machine-learning, maven, ml, neural-networks, neural-networks-and-deep-learning, tensor-flow
• Language: Kotlin
• Homepage: https://jesperancinha.github.io/organic-growth-app/
• Size: 130 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# organic-growth-app

Discovery of LLM and prediction models in Kotlin and using them to build a website

## Introduction

1. [KotlinDL](https://github.com/Kotlin/kotlindl)

2. [DL4j](https://deeplearning4j.konduit.ai/)

3. [Smile](https://haifengl.github.io/)

4. [Kotlin Notebooks](https://kotlinlang.org/docs/kotlin-notebook-overview.html)

5. [Langchain4j](https://github.com/langchain4j/langchain4j)

6. [Spring-AI](https://spring.io/projects/spring-ai)

7. [KotlinDL App Sample](https://github.com/Kotlin/kotlindl-app-sample)

Under Construction...

## Resources

#### Online

1. [KotlinDL](https://github.com/Kotlin/kotlindl)

2. [DL4j](https://deeplearning4j.konduit.ai/)

3. [Smile](https://haifengl.github.io/)

4. [Kotlin Notebooks](https://kotlinlang.org/docs/kotlin-notebook-overview.html)

5. [Langchain4j](https://github.com/langchain4j/langchain4j)

6. [Spring-AI](https://spring.io/projects/spring-ai)

7. [An Overview of Bayesian Networks in AI](https://www.turing.com/kb/an-overview-of-bayesian-networks-in-ai)

8. [LangChain](https://github.com/langchain4j/langchain4j)

9. [Adagrad Optimizer Explained: How It Works, Implementation, & Comparisons](https://www.datacamp.com/tutorial/adagrad-optimizer-explained)

10. [Adaptive Subgradient Methods (AdaGrad)](https://deepai.org/machine-learning-glossary-and-terms/adaptive-subgradient-methods)