Vulnerability-Lookup facilitates quick correlation of vulnerabilities from various sources, independent of vulnerability IDs, and streamlines the management of Coordinated Vulnerability Disclosure (CVD).
Vultron is a protocol for Coordinated Vulnerability Disclosure
A Python client for the Global CVE Allocation System.
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
A high-frequency market agent built to eliminate human latency. It doesn't just watch prices but it hunts volatility while automating the desk's entire audit trail in real-time.
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
COMSOL 6.4 model of an APCVD poly-Si reactor on a 300 mm wafer | inlet redesign cuts non-uniformity 180% to 3.3% | 14-run CCD, Gaussian-process surrogate, Monte Carlo Cpk, 3D asymmetric exhaust
Repository for simulation files and input/output files used in the hypertension treatment coverage and adherence study.
Classification of Cardiovascular Disorders using machine learning, Data Analysis of NHANES dataset and Visualizaiong the results
📊 Extract 30+ trading metrics (CVD, VWAP, Imbalance, Exhaustion, Large Trades) from Bybit BTC/USDT order book and trade data. Built with Polars for 10x speed. Kaggle-ready pipeline processes 245 days in 4-5 hours.
An advanced machine learning application that predicts heart disease risk using XGBoost. Built with Streamlit and trained on over 300,000 US health records, achieving 91.5% prediction accuracy.
This script uses a CNN in TensorFlow to classify chest X-ray images into “COVID,” “Normal,” and “Pneumonia.” It trains the model for 10 epochs and evaluates performance with accuracy plots, displaying predictions on test images.
A detailed comparative analysis with proposed best model to detect CVDs early
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