DARREN-2000/AI-Platform

DARREN-2000/AgentBox

DARREN-2000/Classify-Math-Publications

DARREN-2000/Cloud-Native-Cassandra-Building-CRUD-applications-with-Python-and-NodeJS

Apache Cassandra is a free and open-source, distributed, wide column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. This is a curated list of awesome Apache Cassandra packages and resources. Maintained by Rahul Singh of Anant. Feel free contact me if you'd like to collaborate on this and other awesome lists. Awesome Cassandra , Awesome Solr, Awesome Lucene. This powers the Resources section of Cassandra.Link, a rich collection of blog feeds, and curated links as a searchable knowledge base.

DARREN-2000/ConsentHub

DARREN-2000/Consentinel

DARREN-2000/DARREN-2000

DARREN-2000/DARREN-2000.github.io

MY PORTOFOLIO

DARREN-2000/DL

DARREN-2000/Data-Preprocessing-Templates

DARREN-2000/Deval

DARREN-2000/DockerForge

DARREN-2000/Documents

notes

DARREN-2000/GuardrailX

DARREN-2000/Hybrid-Movie-Recommendation-System

Developed a hybrid recommendation system using collaborative and content filtering with clustering techniques to identify user affinities (similarities) and achieve a 83% precision in recommendations

DARREN-2000/Inference-Control-Plane

Inference-Control-Plane is a production-oriented LLM orchestration platform designed for dynamic model routing, intelligent fallback handling, semantic caching, and real-time observability across heterogeneous inference backends.

DARREN-2000/Job-Application-Tracker

DARREN-2000/LIFT-it-UP

DARREN-2000/LLM-Fuzzing-Monitor-Dashboard

DARREN-2000/Machine-Learning-Hands-on

DARREN-2000/Machine-Learning-Templates

DARREN-2000/OCR-with-Handwritten-Recognition-and-Auto-Spelling-Correction

Engineered an innovative NLP system for automatic spelling correction, employing normalization, regularization techniques, and Tesseract for image-to-text conversion. Deployed using Django, this system achieved a remarkable 80% enhancement in spelling correction specificity.

DARREN-2000/PORTFOLIO

DARREN-2000/PROGRAMS

Beginner programs

DARREN-2000/RAG

DARREN-2000/Rulvanta

DARREN-2000/TraceMind

DARREN-2000/University-Mail-Automation

DARREN-2000/ai-hypervisor-platform

AI-native virtualization platform using KVM/QEMU for GPU-aware inference workloads, automated VM provisioning, workload isolation, and distributed runtime orchestration. Designed for scalable AI infrastructure with observability, resource monitoring, and Kubernetes-integrated inference deployment.

DARREN-2000/calibrum

DARREN-2000/cirquento

DARREN-2000/cocoindex

Incremental engine for long horizon agents 🌟 Star if you like it!

DARREN-2000/coursera

DARREN-2000/git-hub

DARREN-2000/governOS

a universal action OS that compiles natural-language intent into trusted workflows for personal life, company operations, and developer systems.

DARREN-2000/it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

DARREN-2000/kairith

DARREN-2000/made-template

Template repository for the Methods of Advanced Data Engineering course at FAU

DARREN-2000/new

DARREN-2000/nullius

DARREN-2000/temp

DARREN-2000/temporary

thesis

EnterpriseIQ/enterprise-knowledge-intelligence-platform

Production-grade Enterprise Knowledge Intelligence Platform featuring LangGraph-based Agentic RAG, hybrid retrieval, cross-encoder reranking, local and cloud LLM support, RBAC, audit logging, evaluation pipelines, explainable citations, observability, and multi-source knowledge ingestion across enterprise data ecosystems.

Scientific-AI-Mesh-Platform/GNN-Dataset-Generation-for-Material-Wear-Prediction

This code describes how to generate synthetic mesh datasets for training and evaluating Graph Neural Networks (GNNs) for wear prediction. The dataset generator creates realistic 3D mesh structures with customizable properties, simulated wear patterns, and prepares them in the format required by the GNN model.

Scientific-AI-Mesh-Platform/Graph-Neural-Networks

This code implements a sophisticated Graph Neural Network (GNN) framework for predicting structural wear at mesh nodes. It combines multiple types of graph convolution operations and employs a message-passing paradigm to learn from the geometric, material, and loading properties represented as graphs.