581 Repositories
Python prediction-service Libraries
JF⚡can - Super fast port scanning & service discovery using Masscan and Nmap. Scan large networks with Masscan and use Nmap's scripting abilities to discover information about services. Generate report.
Description Killing features Perform a large-scale scans using Nmap! Allows you to use Masscan to scan targets and execute Nmap on detected ports with
This repository contains all the data analytics projects that I've worked on in python.
93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can
This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).
Deploying ML models with CPU based TFServing, Docker, and Kubernetes By: Chansung Park and Sayak Paul This project shows how to serve a TensorFlow ima
Codes of CVPR2022 paper: Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Figure 1. Teaser. Introduction This paper studies the problem
(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.
LAV Learning from All Vehicles Dian Chen, Philipp Krähenbühl CVPR 2022 (also arXiV 2203.11934) This repo contains code for paper Learning from all veh
A free sniper bot built to work with PancakeSwap: Router V2
Pancakeswap Sniper Bot PancakeSwap sniper bot. Automated sniping bot to snipe crypto coin launches. How it works The sniping bot can be used in three
This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
Deploying ML models with FastAPI, Docker, and Kubernetes By: Sayak Paul and Chansung Park This project shows how to serve an ONNX-optimized image clas
🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.
Project summary This repository contains the implementation of my bachelor degree project. The aim of the project is to apply non-linear feature reduc
Red Team Toolkit is an Open-Source Django Offensive Web-App which is keeping the useful offensive tools used in the red-teaming together.
RedTeam Toolkit Note: Only legal activities should be conducted with this project. Red Team Toolkit is an Open-Source Django Offensive Web-App contain
UT-Sarulab MOS prediction system using SSL models
UTMOS: UTokyo-SaruLab MOS Prediction System Official implementation of "UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022" submitted to INTERSP
Code for the SIGIR 2022 paper "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion"
MKGFormer Code for the SIGIR 2022 paper "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion" Model Architecture Illu
HASOKI DDOS TOOL- powerful DDoS toolkit for penetration tests
DDoS Attack Panel includes CloudFlare Bypass (UAM, CAPTCHA, GS ,VS ,BFM, etc..) This is open source code. I am not responsible if you use it for malic
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Requirements The code has been tested running under Python 3.7.4, with the foll
Provide baselines and evaluation metrics of the task: traffic flow prediction
Note: This repo is adpoted from https://github.com/UNIMIBInside/Smart-Mobility-Prediction. Due to technical reasons, I did not fork their code. Introd
We’re releasing an open-source tool you can use now, which we developed as a homemade Just-In-Time database access control tool for our sensitive database. This tool syncs with our directory service, slack, SIEM, and finally, our Apache Cassandra database.
Cassandra Access Control By Aner Izraeli - Intezer Security Manager ([email protected]) We’re releasing an open-source tool you can use now, which
Rufus is a Dos tool written in Python3.
🦎 Rufus 🦎 Rufus is a simple but powerful Denial of Service tool written in Python3. The type of the Dos attack is TCP Flood, the power of the attack
OpenSea Bulk Uploader And Trader 100000 NFTs (MAC WINDOWS ANDROID LINUX) Automatically and massively upload and sell your non-fungible tokens on OpenSea using Python Selenium
OpenSea Bulk Uploader And Trader 100000 NFTs (MAC WINDOWS ANDROID LINUX) Automatically and massively upload and sell your non-fungible tokens on OpenS
MAU: A Motion-Aware Unit for Video Prediction and Beyond, NeurIPS2021
MAU (NeurIPS2021) Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xinguang Xiang, Wen GAo. Official PyTorch Code for "MAU: A Motion-Aware
Gclone-Discord-Utilities - A Pycord bot for running GClone, an RClone mod that allows multiple Google Service Account configuration
Gclone Discord Utilities Features Clone - Clone a public/private google drive fi
DLWP: Deep Learning Weather Prediction
DLWP: Deep Learning Weather Prediction DLWP is a Python project containing data-
LotteryBuyPredictionWebApp - Lottery Purchase Prediction Model
Lottery Purchase Prediction Model Objective and Goal Predict the lottery type th
Predict the income for each percentile of the population (Python) - FRENCH
05.income-prediction Predict the income for each percentile of the population (Python) - FRENCH Effectuez une prédiction de revenus Prérequis Pour ce
Search & download music from a certain streaming service
Search & download music from a certain streaming service
Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction".
TGIN Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction". Files in the folder dataset/ electr
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
Benchmarking Pipeline for Prediction of Protein-Protein Interactions
B4PPI Benchmarking Pipeline for the Prediction of Protein-Protein Interactions How this benchmarking pipeline has been built, and how to use it, is de
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.
Tools for dos (denial-of-service) website / web server
DoS Attack Tools Tools for dos (denial-of-service) website / web server di buat olah NurvySec How to install on debian / ubuntu $ apt update $ apt ins
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
HiPAL Code for KDD'22 Applied Data Science Track submission -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electro
Trafffic prediction analysis using hybrid models - Machine Learning
Hybrid Machine learning Model Clone the Repository Create a new Directory as assests and download the model from the below link Model Link To Start th
Anonymously Reverse shell over Tor Network using Hidden Services without portfortwarding
Anonymously Reverse shell over Tor Network using Hidden Services without portfortwarding Tor ağı ile Dark Web servislerini kullanarak anonim biçimde p
A python package for deep multilingual punctuation prediction.
This python library predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.
Protection-UB - Simple Group Protection userbot running on python3 with ARQ
Protection-UB Simple Group Protection userbot running on python3 with ARQ ⚠️ Not
Email-bomber - Email bomber unlike other email bombers u don't need your gmail email id to use this
Email-bomber - Email bomber unlike other email bombers u don't need your gmail email id to use this
This machine learning model was developed for House Prices
This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.
A badge generator service to count visitors of your markdown file.
Github Visitors Badge A badge generator service to count visitors of your markdown file. Hello every one! In this post, I will tell you the story of m
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification Introduction. This package includes the pyth
A micro-service that can be extended to help in monitoring systems
A micro-service that can be extended to help in monitoring systems. Be extensible to be incorporated in any of the systems to facilitate timely interventions.
ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.
VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built
What games should I design next quarter?
Project1_Next-Quarter-Game-Design-Prediction What games should I design next quarter? 상황 : 게임회사 데이터팀 합류 문제 : '다음 분기에 어떤 게임을 설계해야할까' Data Description N
A machine learning model for Covid case prediction
CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an
This git repo contains the implementation of my ML project on Heart Disease Prediction
Introduction This git repo contains the implementation of my ML project on Heart Disease Prediction. This is a real-world machine learning model/proje
This is sample project needed for security course to connect web service to database
secufaku This is sample project needed for security course to "connect web service to database". Why it suits alignment purpose It connects to postgre
This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.
GoldNanoparticles This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Mode
A smart Chat bot that can help to know about corona virus and Make prediction of corona using X-ray.
TRINIT_Hum_kuchh_nahi_karenge_ML01 Document Link https://github.com/Jatin-Goyal-552/TRINIT_Hum_kuchh_nahi_karenge_ML01/blob/main/hum_kuchh_nahi_kareng
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
GNN_PPI Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction". Lear
Breast-Cancer-Prediction
Breast-Cancer-Prediction Trying to predict whether the cancer is benign or malignant using REGRESSION MODELS in Python. Team Members NAME ROLL-NUMBER
Deep Inertial Prediction (DIPr)
Deep Inertial Prediction For more information and context related to this repo, please refer to our website. Getting Started (non Docker) Note: you wi
Most Simple & Powefull web3 Trade Bot (WINDOWS LINUX) Suport BSC ETH
Most Simple & Powefull Trade Bot (WINDOWS LINUX) What Are Some Pros And Cons Of Owning A Sniper Bot? While having a sniper bot is typically an advanta
Drug prediction
I have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of 5 medications, Drug A, Drug B, Drug c, Drug x and y. Part of our job is to build a model to find out which drug might be appropriate for a future patient with the same illness. The feature sets of this dataset are Age, Sex, Blood Pressure, and Cholesterol of patients, and the target is the drug that each patient responded to.
OntoProtein: Protein Pretraining With Ontology Embedding
OntoProtein This is the implement of the paper "OntoProtein: Protein Pretraining With Ontology Embedding". OntoProtein is an effective method that mak
CSPML (crystal structure prediction with machine learning-based element substitution)
CSPML (crystal structure prediction with machine learning-based element substitution) CSPML is a unique methodology for the crystal structure predicti
A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret
This model involves Insurance bill prediction, which was subsequently deployed on Heroku PaaS
Housing Price Prediction
This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to their features. For this we used a kaggle data set.
Gems & Holiday Package Prediction
Predictive_Modelling Gems & Holiday Package Prediction This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning
Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
Pairwise Learning for Neural Link Prediction for OGB (PLNLP-OGB)
Pairwise Learning for Neural Link Prediction for OGB (PLNLP-OGB) This repository provides evaluation codes of PLNLP for OGB link property prediction t
A hybrid framework (neural mass model + ML) for SC-to-FC prediction
The current workflow simulates brain functional connectivity (FC) from structural connectivity (SC) with a neural mass model. Gradient descent is applied to optimize the parameters in the neural mass model.
Banglore House Prediction Using Flask Server (Python)
Banglore House Prediction Using Flask Server (Python) 🌐 Links 🌐 📂 Repo In this repository, I've implemented a Machine Learning-based Bangalore Hous
DTCN IJCAI - Sequential prediction learning framework and algorithm
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
Multimodal Co-Attention Transformer (MCAT) for Survival Prediction in Gigapixel Whole Slide Images
Multimodal Co-Attention Transformer (MCAT) for Survival Prediction in Gigapixel Whole Slide Images [ICCV 2021] © Mahmood Lab - This code is made avail
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
Bot made with Microsoft Azure' cloud service
IttenWearBot Autori: Antonio Zizzari Simone Giglio IttenWearBot è un bot intelligente dotato di sofisticate tecniche di machile learning che aiuta gli
This is a Flask web app which predicts fare of Flight ticket
Flight Fare Prediction: Table of Content Demo Overview Motivation Installation Deployement on Heroku Directory Tree Bug / Feature Request Future scope
Decision tree is the most powerful and popular tool for classification and prediction
Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision
Magicspoofing - A python3 script for search possible misconfiguration in a DNS related to security protections of email service from the domain name
A python3 script for search possible misconfiguration in a DNS related to security protections of email service from the domain name. This project is for educational use, we are not responsible for its misuse.
DTCN SMP Challenge - Sequential prediction learning framework and algorithm
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
Team10 backend - A service which accepts a VRM (Vehicle Registration Mark)
GreenShip - API A service which accepts a VRM (Vehicle Registration Mark) and re
An curated collection of awesome resources about networking in cybersecurity
An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
AP1 Transcription Factor Binding Site Prediction
A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple
ThorFI: A Novel Approach for Network Fault Injection as a Service
ThorFI: a Novel Approach for Network Fault Injection as a Service This repo includes ThorFI, a novel fault injection solution for virtual networks in
Titanic Traveller Survivability Prediction
The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.
Sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API Gateway
Welcome to the AWS CodeStar sample web service This sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API
Fantasy Points Prediction and Dream Team Formation
Fantasy-Points-Prediction-and-Dream-Team-Formation Collected Data from open source resources that have over 100 Parameters for predicting cricket play
Social Network Ads Prediction
Social network advertising, also social media targeting, is a group of terms that are used to describe forms of online advertising that focus on social networking services.
Mortality risk prediction for COVID-19 patients using XGBoost models
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
Predict multi paths to a moving person depending on his trajectory history.
Multi-future Trajectory Prediction The project is about using the Multiverse model to make possible multible-future trajectory prediction for a seen p
pyhakuna is a client to access the API of the time keeping service hakuna.ch.
pyhakuna pyhakuna is a client to access the API of the time keeping service hakuna.ch. The Hakuna API is – unfortunately – personal and currently does
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
mmTransformer Introduction This repo is official implementation for mmTransformer in pytorch. Currently, the core code of mmTransformer is implemented
Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer This repo contains the official implementation of our paper: AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecast
A tool to build scripts to toggle between minimal & default services in Windows based on user defined lists.
A tool to build scripts to toggle between minimal & default services in Windows based on user defined lists.
Prediction of MBA refinance Index (Mortgage prepayment)
Prediction of MBA refinance Index (Mortgage prepayment) Deep Neural Network based Model The ability to predict mortgage prepayment is of critical use
Source code for paper "Black-Box Tuning for Language-Model-as-a-Service"
Black-Box-Tuning Source code for paper "Black-Box Tuning for Language-Model-as-a-Service". Being busy recently, the code in this repo and this tutoria
Churn prediction
Churn-prediction Churn-prediction Data preprocessing:: Label encoder is used to normalize the categorical variable Data Transformation:: For each data
Predicts an answer in yes or no.
Oui-ou-non-prediction Predicts an answer in 'yes' or 'no'. It is based on the game 'effeuiller la marguerite' in which the person plucks flower petals
A multi-container docker application. Implemented and dockerized a web-based service leveraging Flask
Flask-based-web-service-with-Docker-compose A multi-container docker application. Implemented and dockerized a web-based service leveraging Flask. Des