43 Repositories
Python ddd-patterns Libraries
Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Expressions.
patterns-finder Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Ex
Architecture Patterns with Python (TDD, DDD, EDM)
architecture-traning Architecture Patterns with Python (TDD, DDD, EDM) Chapter 5. 높은 기어비와 낮은 기어비의 TDD 5.2 도메인 계층 테스트를 서비스 계층으로 옮겨야 하는가? 도메인 계층 테스트 def
OntoSeer is a tool to help users build better quality ontologies
Ontoseer This document provides documentation for the first version of OntoSeer.OntoSeer is a tool that monitors the ontology development process andp
Clustering is a popular approach to detect patterns in unlabeled data
Visual Clustering Clustering is a popular approach to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a data
Procscan is a quick and dirty python script used to look for potentially dangerous api call patterns in a Procmon PML file.
PROCSCAN Procscan is a quick and dirty python script used to look for potentially dangerous api call patterns in a Procmon PML file. Installation git
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
PAMI stands for PAttern MIning. It constitutes several pattern mining algorithms to discover interesting patterns in transactional/temporal/spatiotemporal databases
Introduction PAMI stands for PAttern MIning. It constitutes several pattern mining algorithms to discover interesting patterns in transactional/tempor
Orbital-patterns - A program which plots pattern that revolving planets make
orbital-patterns Click to spawn planets Press "S" to capture screenshot. Image w
Ml-design-patterns - Source code accompanying O'Reilly book: Machine Learning Design Patterns
This is not an official Google product ml-design-patterns Source code accompanying O'Reilly book: Title: Machine Learning Design Patterns Authors: Val
A quick reference guide to the most commonly used patterns and functions in PySpark SQL
Using PySpark we can process data from Hadoop HDFS, AWS S3, and many file systems. PySpark also is used to process real-time data using Streaming and
I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology
pydantic-ddd-exploration I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology Prerequisites nix direnv (nix-env -i
Architectural Patterns implementation by using notification handler module prototype
This repository covers singleton, indirection, factory, adaptor, mediator patterns in python language by using university hypothetical notification module prototype. The code is just for demonstrating the pattern implementation not modules working
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.
Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H
DeepHawkeye is a library to detect unusual patterns in images using features from pretrained neural networks
English | 简体中文 Introduction DeepHawkeye is a library to detect unusual patterns in images using features from pretrained neural networks Reference Pat
Official PyTorch implementation of "Synthesis of Screentone Patterns of Manga Characters"
Manga Character Screentone Synthesis Official PyTorch implementation of "Synthesis of Screentone Patterns of Manga Characters" presented in IEEE ISM 2
Next-gen Rowhammer fuzzer that uses non-uniform, frequency-based patterns.
Blacksmith Rowhammer Fuzzer This repository provides the code accompanying the paper Blacksmith: Scalable Rowhammering in the Frequency Domain that is
JAWS Pankration 2021 - DDD on AWS Lambda sample
JAWS Pankration 2021 - DDD on AWS Lambda sample What is this project? This project contains sample code for AWS Lambda with domain models. I presented
3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
McGill Physics Hackathon 2021: Reaction-Diffusion Models for the Generation of Biological Patterns
DiffuseAnimals: Reaction-Diffusion Models for the Generation of Biological Patterns Introduction Reaction-diffusion equations can be utilized in order
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution Abstract Within the Latin (and ancient Greek) production, it is well
DeLag: Detecting Latency Degradation Patterns in Service-based Systems
DeLag: Detecting Latency Degradation Patterns in Service-based Systems Replication package of the work "DeLag: Detecting Latency Degradation Patterns
Simulations for Turring patterns on an apically expanding domain. T
Turing patterns on expanding domain Simulations for Turring patterns on an apically expanding domain. The details about the models and numerical imple
kikuchipy is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns
kikuchipy is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. The library builds on the
Dependency Injector is a dependency injection framework for Python.
What is Dependency Injector? Dependency Injector is a dependency injection framework for Python. It helps implementing the dependency injection princi
IDAPatternSearch adds a capability of finding functions according to bit-patterns into the well-known IDA Pro disassembler based on Ghidra’s function patterns format.
IDA Pattern Search by Argus Cyber Security Ltd. The IDA Pattern Search plugin adds a capability of finding functions according to bit-patterns into th
A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format
RITA DSL This is a language, loosely based on language Apache UIMA RUTA, focused on writing manual language rules, which compiles into either spaCy co
Analyzes crypto candles over a set time period and then trades based on winning patterns found
patternstrade Analyzes crypto candles over a set time period and then trades based on winning patterns found. Heavily customizable. Warning: This was
A collection of design patterns and idioms in Python (With tests!).
Python Patterns Help the project financially: Donate: https://smartlegion.github.io/donate/ Yandex Money: https://yoomoney.ru/to/4100115206129186 PayP
Tool for generating Memory.scan() compatible instruction search patterns
scanpat Tool for generating Frida Memory.scan() compatible instruction search patterns. Powered by r2. Examples $ ./scanpat.py arm.ks:64 'sub sp, sp,
Estudo e desenvolvimento de uma API REST
Estudo e desenvolvimento de uma API REST 🧑💻 Tecnologias Esse projeto utilizará as seguintes tecnologias: Git Python Flask DBeaver Vscode SQLite 🎯
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Introduction: Environment: Python3.6.5, PyTorch1.5.0 Dataset: CIFAR-10, Image
A helper for organizing Django project settings by relying on well established programming patterns.
django-configurations django-configurations eases Django project configuration by relying on the composability of Python classes. It extends the notio
Domain Connectivity Analysis Tools to analyze aggregate connectivity patterns across a set of domains during security investigations
DomainCAT (Domain Connectivity Analysis Tool) Domain Connectivity Analysis Tool is used to analyze aggregate connectivity patterns across a set of dom
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
matrixprofile-ts matrixprofile-ts is a Python 2 and 3 library for evaluating time series data using the Matrix Profile algorithms developed by the Keo
Modular, cohesive, transparent and fast web server template
kingdom-python-server 🐍 Modular, transparent, batteries (half) included, lightning fast web server. Features a functional, isolated business layer wi
Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646
[TCSVT] Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization LPN [Paper] NEWs Prerequisites Python 3.6 GPU Memory = 8G Numpy 1.
Pattern Matching for Python 3.7+ in a simple, yet powerful, extensible manner.
Awesome Pattern Matching (apm) for Python pip install awesome-pattern-matching Simple Powerful Extensible Composable Functional Python 3.7+, PyPy3.7+
A helper for organizing Django project settings by relying on well established programming patterns.
django-configurations django-configurations eases Django project configuration by relying on the composability of Python classes. It extends the notio
Implementation of the Angular Spectrum method in Python to simulate Diffraction Patterns
Diffraction Simulations - Angular Spectrum Method Implementation of the Angular Spectrum method in Python to simulate Diffraction Patterns with arbitr
Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.
Colibri Core by Maarten van Gompel, [email protected], Radboud University Nijmegen Licensed under GPLv3 (See http://www.gnu.org/licenses/gpl-3.0.html
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline
A collection of design patterns/idioms in Python
python-patterns A collection of design patterns and idioms in Python. Current Patterns Creational Patterns: Pattern Description abstract_factory use a
A simple library for implementing common design patterns.
PyPattyrn from pypattyrn.creational.singleton import Singleton class DummyClass(object, metaclass=Singleton): # DummyClass is now a Singleton!