Use ForML to formally describe a data science problem as a composition of high-level operators. ForML expands your project into a task dependency graph specific to a given life-cycle phase and executes it using any of its supporte
Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.
Tributary is a library for constructing dataflow graphs in python. Unlike many other DAG libraries in python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in
Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with e
Goal of this repo is to track changes in targets and add/remove new/old targets, in order to perform reconnaissance en-masse, by putting them all in one place. Collecting all sub-domains at one place can make certain bulk operatio
Home Assistant Core in docker on a Synology DiskStation DS918+. My use case is a wall mounted tablet [Samsung 10.1"] displaying Home Assistant in Fully Kiosk Browser and on desktop using applicationize (chrome). My configuration i
UltraOpt is a simple and efficient library to minimize expensive and noisy black-box functions, it can be used in many fields, such as HyperParameter Optimization(HPO) and Automatic Machine Learning(AutoML).
Oblivion is a tool focused in real time monitoring of new data leaks, notifying if the credentials of the user has been leak out. It's possible too verify if any credential of user has been leak out before.