cwijayasundara/java-virtual-threads-project-loom-spring-boot

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cwijayasundara/java-virtual-threads-project-loom-spring-boot

cwijayasundara

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This is an attempt to use Java Virtual threads inside a Spring Boot container.

disruptor-actor

This is my attempt to understand how twitter update millions of follows based on tweets by famous folks

spring-state-machine

This is an effort to understand the Spring State machine API

Spring-Cloud-Open-Feign

This is an effort to understand how to link a client and a server app using Eureka and Open Feign

deeplearning-ai-langchain-course

This repo contains all the code for the Deeplearning.ai's LangChain course's source code as Python.

langchain-chat-with-structured-data

This is an effort to understand how to use LLMs to generate SQL, DF ops etc

gpt-4-turbo-research

langchain-palm-2

This repo has my research on getting Google PaLM 2 LLMs working with LangChain.

Jupyter Notebook

tensorflow-r-n-d

My R&D with Googles Tensorflow deep learning API

Google-Vison-App

This is an attempt to understand and use the Google Vision image recognition API.

algorithms

This project has main algorithms done in Python

spring-cloud-streaming-kafka

auto-code-generator-python

java-9-reactive-streams

This is an attempt to understand and apply Java 9 Reactive Streams API

Hazelcast-JET-Streaming

This is an effort to understand and build a sample that streams data from an IMap to a Map using Hazelcast JET api

nlu-text-summarisation

This repo has some r&d work done on text summarisation using Google BERT, T5 & Pegasus. Here I have used the pre trained DNNs and from the Huggingface transformers lib.

Jupyter Notebook

java-code-generation-research-gpt-4

This repository contains some research done on GPT-4's code generation capability to generate Java & Spring Boot code with unit and integration tests

hazelcast-predicate-by-key

This is an effort to find the best way to query a huge IMap with a lot of data using continuous queries and SQL type predicates

jaxb-unmarshaller-sample

XML is a thing of the past but legacy apps still depend on it. This one generate java classes off XSD and use these to unmarshall a sample XML using Jaxb2

cv_fitment_to_jd

This is a fun exercise to determine a candidates cv to a jd :-)