Popular GitHub Repositories for Respiratory Syncytial Virus

LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.

This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"

Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early predi

Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.

Predicting Future Influenza Virus Sequences with Machine Learning

Open source malware detection program using machine learning algorithms on system call traces.

Builds a knowledge graph from the [COVID-19 Open Research Dataset (CORD-19)](https://pages.semanticscholar.org/coronavirus-research) dataset.

The Covid-19-QBox-Chatbot Model is free pre-compiled chatbot model that addresses typical questions about the COVID-19 virus to help you handle high volumes of questions from your customers, partners and staff. You simply add it to your current chatbot training data.

Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network

Bot that addresses typical questions about the COVID-19 virus to help you handle high volumes of questions from your customers, partners and staff.

Predict using ML the number of infected people and the number of deaths of coronavirus.

A detection algorithm for expression features that correspond to previous viral infection

A repository run by the Centers for Disease Control and Prevention (CDC) to collect forecasts of weekly incident respiratory syncytial virus (RSV) hospitalizations.

Detecting Potential Mosquito Breeding Sites using Deep Learning

Chicago Inpatient, Emergency Department, and Outpatient Visits for Respiratory Illnesses Data Analysis & Machine Learning Binary Classification Model

State of the art prediction of mosquito hotspots and virus presence using machine learning and deep learning

Analysis and Forecasting of the Corona Virus Observed, Recovered and Death Cases Using Machine Learning Models and Plotly Library

反病毒软件的C++库 + 神经网络模块（例如助手使用的模块）+ 通用数据结构。`/bin/sh` 命令行工具库。关于自主工具的Markdown文章。

Forecasts repository for the WNVCA Challenge 2025 (hubverse-compliant)