Projects in Awesome Lists by Quantum-Software-Development

🔐4- Cybersecurity and Social Engineering - AI-powered risk intelligence platform analyzing financial AI incidents to uncover bias, quantify operational risk, and support governance and regulatory decision-making.

ai ai-ethics data-science financial-risk lgpd machine-learning python restful-api risk-management social-engineering zero-trust-security

Last synced: 06 May 2026

https://github.com/quantum-software-development/statistical-measures

This repository contains a statistical analysis of customer service ratings for Biscobis Ltd

machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics

Last synced: 12 Apr 2025

https://github.com/quantum-software-development/calculus2-integrals

✍️ Calculus II - Basic Function Integrals

calculus-2 integrals latex-code mathematics python3

Last synced: 17 May 2026

https://github.com/quantum-software-development/gaussian-processes-bayesian-optimization-

📈 A comprehensive course on Gaussian Processes and Bayesian Optimization, covering theory, implementation, and real-world applications.

artificial-intelligence bayesianoptimization data-science gaussianprocesses jupyter-notebook machine-learning optimization python3 research statistics

Last synced: 20 May 2026

https://github.com/quantum-software-development/qiskit

qiskit circuits on IBM Quantum

numpy qbits-circuits quiskit

Last synced: 30 Jul 2025

https://github.com/quantum-software-development/1-datamining_main_repository

data mining, focusing on unsupervised learning methods (clustering, PCA, dictionary learning, anomaly detection) applied to real-world projects for third-sector organizations. Results are shared publicly in open repositories and community platforms.

Last synced: 08 Feb 2026

https://github.com/quantum-software-development/1-main_datamining_repository

data mining, focusing on unsupervised learning methods (clustering, PCA, dictionary learning, anomaly detection) applied to real-world projects for third-sector organizations. Results are shared publicly in open repositories and community platforms.

Last synced: 01 Sep 2025

https://github.com/quantum-software-development/2_3-datamining_statistical_review

This repository contains materials and examples for the Data Mining with Python Class 2 and 3 course, focusing on fundamental statistical concepts and data analysis techniques essential for data mining applications.

Last synced: 01 Sep 2025

https://github.com/quantum-software-development/quantikz

# Quantikz: A Quantum Circuit Typesetting Tool for LaTeX

Last synced: 15 Mar 2025

https://github.com/quantum-software-development/bovespa-banks-value-analysis

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

anova-test art-direction artificial-intelligence data-science design python3 sound-design sounds-remix statics-measures statistical-analysis statistics video-creator

Last synced: 15 Feb 2026

https://github.com/quantum-software-development/optimization-simulation-modelin-linearprogramming

Last synced: 28 Feb 2025

https://github.com/quantum-software-development/gallactica-llm-science

From Homo Sapiens to Homo Galacticus

Last synced: 05 Feb 2026

https://github.com/quantum-software-development/2-datamining_statistical_measures

2- DataMining - Statistical Review - Stats Measures- Mean - Median - Mode - Variance

Last synced: 09 Oct 2025

https://github.com/quantum-software-development/calculus1-derivatives

Calcullus 1 - Derivatives

Last synced: 09 Feb 2026

https://github.com/quantum-software-development/3-cybersecurity-social-engineering-fin-cyber-osint-quantum-ton-pipeline-analytics

🔐3- Cybersecurity & Social Engineering: Enterprise-grade pipeline combining financial intelligence, OSINT, post-quantum security, and TON blockchain analytics to enable crypto-agile, AI-driven threat detection and risk analysis.

Last synced: 06 May 2026

https://github.com/quantum-software-development/mathfreeresources

Last synced: 07 Apr 2026

https://github.com/quantum-software-development/5-datamining_datacleaning_preparation_anomalies_outlier

👩🏻‍🚀 5-Data Mining - Data Cleaning, Preparation and Detection of Anomalies (Outlier Detectio

accuracy-metrics data-cleaning-and-preprocessing data-exploratory fraud-detection logistic-regression random-forest test-model

Last synced: 14 Feb 2026

https://github.com/quantum-software-development/integrated_project-business

Last synced: 28 Feb 2025

https://github.com/Quantum-Software-Development/Gallactica-LLM-Science

From Homo Sapiens to Homo Galacticus

Last synced: 26 Aug 2025

https://github.com/quantum-software-development/2-distributed-system-robotfault-ai-server-iot

🕸️ 2- Poject Distributed Python system using TCP/IP sockets, multithreading, and a Random Forest model for IoT-based predictive maintenance and failure detection in industrial robots (Industry 4.0).

industry-4-0 iot istributed-systems linux machine-learning random-forest socket-programming tcp-ip-sockets threads

Last synced: 06 May 2026

https://github.com/quantum-software-development/9-datamining-xxxxxx

9- DataMining - XXXXXXXXXXXX

Last synced: 28 Sep 2025

https://github.com/quantum-software-development/5-cybersecurity-social-engineering-building-apis

🔐 5- Cybersecurity & Social Engineering: Study and practice material on fundamentals of APIs, REST architecture, JSON, Flask routes, query string parameters, and spreadsheet integration with Pandas, plus discussions about cybersecurity and social engineering for both beginners and professionals.

Last synced: 06 May 2026

https://github.com/quantum-software-development/8-datamining-kmeans-non-hierarchical-clustering

8- Data Mining Prediction -XXXXXXX

Last synced: 28 Sep 2025

https://github.com/quantum-software-development/7-datamining-regression-techniques-data-integration

7-Data Minining - Regression Techniques with Data Integration

Last synced: 28 Sep 2025

https://github.com/quantum-software-development/10-datamining_meanshift

🪐 10- DataMining- This repo implements the Mean Shift clustering algorithm, which finds clusters by shifting points toward higher density areas without needing a preset number of clusters. It includes implementation code, comparisons with K-Means, and applications like video tracking and face recognition.

clustering densitybasedclustering imagesegmentation mean-shift-algorithm unsupervisedlearning-algorithm

Last synced: 09 Oct 2025

https://github.com/quantum-software-development/4-datamining_concepts_exploratoryanalysis

Data mining identifies patterns in large datasets, while exploratory analysis examines and summarizes data to understand its initial characteristics.

Last synced: 23 Feb 2026

https://github.com/Quantum-Software-Development/calculus1-Derivatives

Calcullus 2 - Derivatives

Last synced: 10 Jul 2025