Popular GitHub Repositories for Kibana

Pipeline LLMs offline combine with own context for generating answer

Easy Peasy Language Squeezy

Here in this system it discloses a log analysis method based on deep learning for an intrusion detection system, which includes the following steps: preprocess the acquired logs of different types in the target system; perform log analysis on the preprocessed logs using a clustering-based method; then, encode the parsed log events into digital feature vectors, use LSTM-based neural network and log collect-based clustering methods to learn the encoded logs to form warning information.

Implemented the following framework using Apache Spark Streaming, Kafka, Elastic, and Kibana. The framework performs SENTIMENT analysis of hash tags in twitter data in real-time. For example, we want to do the sentiment analysis for all the tweets for #trump, #coronavirus.

EC-JANE Entertainment launches an innovative film recommendation project utilizing MovieLens data. This project aims to incorporate Big Data analysis and machine learning to enhance movie suggestions, leveraging Apache Spark, Elasticsearch, and a Flask API to provide a personalized and dynamic user experience.

Train and build a sentiment model using pytorch for fitness apps using Bert, dockerized and container deployed to the cloud(AWS)

Full-Stack Graph RAG system using Docker Compose, Elasticsearch, OpenAI API, FastAPI, React, Vite and Sigma.js

End to end natural language processing, machine learning and data engineering pipelines for a social media text based cryptocurrency uncertainty index.

OpenAI Assistant API integrated with Elasticsearch, Logstash & Kibana

Using named entity recognition to find similarity between news articles.

Core of chatbot to help new Scratchers

A dockerized application for performing sentiment analysis, tag recognition, and text summarization on YouTube videos.