Python Scoring-rules Resources

RITA (Real Intelligence Threat Analytics) in Jupyter Notebook RITA is an open source framework for network traffic analysis sponsored by Active Counte

Description: ProtFeat is designed to extract the protein features by employing POSSUM and iFeature python-based tools. ProtFeat includes a total of 39

Likert Scoring with Grade Decoupling for Long-term Action Assessment This is the code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Lon

Twitter reply bot This bot will pull a stream of tweets based on rules you set and automatically reply to them. I built this bot in order to help comb

This library attempts to abstract the handling of Sigma rules in Python. The rules are parsed using a schema defined with pydantic, and can be easily loaded from YAML files into a structured Python object.

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

Groceries_ARL Association Rules (Birliktelik Kuralı) Birliktelik kuralları, mark

AWS Quick Start cfn-lint rules This repo provides CloudFormation linting rules specific to AWS Quick Start guidelines, for more information see the Co

This repository (deis/deis) is no longer developed or maintained. The Deis v1 PaaS based on CoreOS Container Linux and Fleet has been replaced by Deis

Image-popularity-score - A novel deep regression method for image scoring.

FMCAPI was originally developed by Dax Mickelson ([email protected]). Dax has moved on to other projects but has kindly transferred the ownership of

An Obfuscation-Neglect Android Malware Scoring System Quark-Engine is also bundled with Kali Linux, BlackArch. A trust-worthy, practical tool that's r

rules_python_poetry Bazel rules to install Python dependencies from a Poetry project. Works with native Python rules for Bazel. Getting started Add th

AutoSF The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding" and this paper has been accepted by ICDE2020. News:

swiftlint-autodetect Python script to autodetect a base set of swiftlint rules. Installation brew install pipx

top-run-time Takes output from RedLime's SpeedRunIGT mod (igt_timer.log) to get the top run retime as per the rules in speedrun.com/mc as well as gene

BONITA-Python3 BONITA was originally written in Python 2 and tested with Python 2-compatible packages. This version of the packages ports BONITA to Py

Documentation | External Resources | Datasets | Examples ChemicalX is a deep learning library for drug-drug interaction, polypharmacy side effect and

RuleBERT: Teaching Soft Rules to Pre-Trained Language Models (Paper) (Slides) (Video) RuleBERT is a pre-trained language model that has been fine-tune

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

This repository contains the code and data for our paper: Editing a classifier by rewriting its prediction rules Shibani Santurkar*, Dimitris Tsipras*

LogiRE Learning Logic Rules for Document-Level Relation Extraction We propose to introduce logic rules to tackle the challenges of doc-level RE. Equip

UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring Code Summary aggregate.py: this script aggr

A class to draw curves expressed as L-System production rules

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees Implementation of the paper titled "Using Sampling to

ssg-vale-rules-gen Python script to generate Vale linting rules from word usage guidance in the Red Hat Supplementary Style Guide. These rules are use

Python Port Scanner This script tries to check if it's possible to make a connection with the specific endpoint port. This is very useful to ensure se

slim-python is a package to learn customized scoring systems for decision-making problems. These are simple decision aids that let users make yes-no p

Rater Scoring Modeling Tool Introduction Automated scoring of written and spoken test responses is a growing field in educational natural language pro

Association Rules Mining Using Python Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in

ConsolePi Acts as a serial Console Server, allowing you to remotely connect to ConsolePi via Telnet/SSH/bluetooth to gain Console Access to devices co

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

ArcSight Integration with TheHive And now, for the first time, you can send alerts via action from ArcSight ESM Console to the TheHive when Correlatio

Website, Tutorials, and Docs    Uncertainty Toolbox A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualizatio

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

agastock 開發動機 就在海運飆漲的2021年7月，差點跪在地上喜迎財富自由的當下，EPS超高好消息不斷的長榮竟然套在202元一去不回，有圖有真相(哭) 忽然體會到追高殺低不是辦法，魯蛇我得靠邏輯分析也能出頭天，經過三個月無數個不出門的周末，產出簡單的爬蟲和分析工具。 上過金融研訓院的量化交易

mc3g Monte Carlo simulation of 3G rules This project contains the Python code to do simulations of events according to the 3G rule (in German: "Geimpf

threat-intel This repository contains IoCs related to Volexity public threat intelligence blog posts. They are organised by year, and within each year

apooxml Generate YARA rules for OOXML documents using ZIP local header metadata. To learn more about this tool and the methodology behind it, check ou

Alternative firmware for ESP8266/ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking (CVPR 2021) Pytorch implementation of the ArTIST motion model. In this repo

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

renag Documentation Available Here Short for Regex (re) Nag (like "one who complains"). Now also PEGs (Parsing Expression Grammars) compatible with py

We provide the source code for the paper "A New Approach to Overgenerating and Scoring Abstractive Summaries" accepted at NAACL'21. If you find the code useful, please cite the following paper.

DOCTOSHOTGUN This script lets you automatically book a vaccine slot on Doctolib for today or tomorrow, following rules from the French Government. Pyt

One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):

AutoSF The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding" and this paper has been accepted by ICDE2020. News:

skope-rules Skope-rules is a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license. Skope-rules a

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

StackStorm is a platform for integration and automation across services and tools, taking actions in response to events. Learn more at www.stackstorm.

Highly interpretable, sklearn-compatible classifier based on decision rules This is a scikit-learn compatible wrapper for the Bayesian Rule List class

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

Cobalt Strike Resources This repository contains: analyze.py: a script to analyze a Cobalt Strike beacon (python analyze.py BEACON) extract.py; extrac

About: Arbitrium is a cross-platform is a remote access trojan (RAT), Fully UnDetectable (FUD), It allows you to control Android, Windows and Linux an

rules rules is a tiny but powerful app providing object-level permissions to Django, without requiring a database. At its core, it is a generic framew

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2020 Links Doc