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ai-enhanced-qkd

AI-Enhanced Secure Communication Protocols for Quantum Key Distribution (QKD)

angelhackspokerproject

Poker Project for AngelHacks in 2020

automated-leetcode-prep-on-aws

This project automates and revolutionizes the process of preparing for LeetCode using AWS services. The project scrapes LeetCode problems, processes the data, and organizes it for efficient study and practice.

aws-dataguardian

DataGuardian is a platform designed to help users monitor and audit their data privacy in real-time across various online platforms. The project integrates AWS Lambda for serverless processing, AWS API Gateway for data ingestion, AWS DynamoDB for storing audit results, and a web interface for visualizing privacy audit outcomes.

aws-ml-trainer

Designed to efficiently train machine learning models on AWS. The application does the training process, manages data transfer, and leverages AWS services like S3 for data storage and SageMaker for model training. This project includes configuration files, a build system, and deployment scripts for a fully functional and ready-to-deploy solution.

aws-network-security-management-system

Includes real-time monitoring, threat detection, incident response, and compliance management. The system integrates AWS Lambda for serverless processing, Amazon S3 for storage, Amazon Kinesis for real-time data streams, AWS WAF for web application firewall, AWS Config for compliance management, and AWS CloudTrail for logging and monitoring. @aws

aws-rag-system

RAG system leveraging AWS services: S3 for document storage, Elasticsearch for indexing/searching, and Lambda for processing. Integrated Amazon Comprehend for NLP tasks and an LLM for augmented response generation. Demonstrate d use of AWS infrastructure, automation, and real-time data processing, delivering high-performance and scalable solutions.

aws-real-time-data-processing

AWS services: Kinesis, Lambda, S3, DynamoDB, Redshift, Athena, Glue, and CloudWatch to create a scalable, efficient, and robust solution for real-time data ingestion, processing, and analysis. It utilizes automated ETL workflows, advanced monitoring, and seamless integration to ensure high-performance data handling and comprehensive analytics. @AWS

aws-rf-research

aws-serverless-ecommerce-platform

This project involves building a serverless e-commerce platform using various AWS services. The platform will include user authentication, product management, order processing, and a recommendation system.

aws_ml_project

chathr

crowdsourceddatavizualization

This application allows users to upload datasets, collaboratively clean and annotate data, and generate interactive visualizations. The platform supports real-time collaboration and advanced data cleaning algorithms.

cryptographic-blockchain-framework

Welcome to the Advanced Cryptographic Blockchain Framework (ACBF) repository. This project focuses on advanced cryptographic techniques, blockchain interactions, smart contract development, and a decentralized application (DApp).

customerfeedbackanalysis

This application allows users to submit feedback and performs complex analytics on the stored data using SQL.

datalab-bitwise

distributed_graph_processing

Leverages Julia's high-performance capabilities to implement scalable and efficient algorithms for large-scale graph data. Featuring distributed computing, advanced algorithms like Node2Vec and PageRank, and comprehensive evaluation tools, this framework is ideal for social network analysis, recommendation systems, and big data applications.

dvhacktoberfest

DVHackClub Hacktoberfest learning repository, along with a super fun collaborative website!

dvhacktoberfest22

english_to_shell

English_To_Shell is a tool to convert English commands into corresponding shell commands for easy use. This project uses shell scripts to translate English descriptions into shell commands, which are then executed.

enzymesimulator-curediseases

Designed to run simulations of enzyme-DNA interactions to discover potential treatments for various diseases. It integrates existing genomic databases, data science, and machine learning to identify promising enzyme-DNA interactions that could lead to new treatments.

equationgenerator

EquationGenerator is a tool to generate LaTeX formatted equations based on user input descriptions. The project uses Python to parse the descriptions and generate the LaTeX code.

federated-learning-iot

federated_learning_iot_privacy-preserving

This repository encapsulates a state-of-the-art Federated Learning (FL) framework tailored for IoT networks, ensuring unparalleled data privacy, communication efficiency, and robust model performance.

final_chat_hr

finwebanalytics

FinWebAnalytics is an F#-based web application that provides financial data analysis and predictions using data science techniques. The application includes a web interface for user interaction, data analysis and visualization capabilities, and advanced predictive models to provide financial insights.

fortran-numerical-solver

FortranNumericalSolver is a high-performance numerical computing project built with Fortran. The application focuses on solving complex mathematical problems such as systems of linear equations, differential equations, and performing matrix operations efficiently. The project showcases the power and efficiency of Fortran in scientific computing.

googlecloud-federated-ml-pipeline

Deploys a scalable and automated federated machine learning pipeline on Google Cloud Platform (GCP). Uses resources such as Google Cloud Storage buckets for data storage, AI Platform for federated model training, and Cloud Run for model deployment, with built-in capabilities to ensure data privacy and security.

googlecloud-ml-pipeline-orchestrator

GCPMLPipelineOrchestrator is a Terraform project designed to deploy a scalable machine learning pipeline on Google Cloud Platform (GCP). This project will provision necessary resources such as Google Cloud Storage buckets for data storage, AI Platform for model training, and Cloud Run for model deployment.

gpuoptimizerml

The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @nvidia