Sar Libraries

23 Components & Libraries

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Sar Libraries

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor

PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensi…

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

The library is under continuous development. Feedback, bug reports and contributions are very welcome! This material is partially based upon work supported by the Defense Advanced Research Projects A…

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. There are lots of reasons to use TextAttack: You should be running Python 3.6+ to use this pack…

A tool for converting dictionary files aka glossaries. Mainly to help use our offline glossaries in any Open Source dictionary we like on any modern operating system / device.

A tool for converting dictionary files aka glossaries. The primary purpose is to be able to use our offline glossaries in any Open Source dictionary we like on any OS/device. There are countless form…

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Codes in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep L…

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. Or via conda-forge: We welcome bug reports and fi…

An information security preparedness tool to do adversarial simulation.

Metta is an information security preparedness tool. This project uses Redis/Celery, python, and vagrant with virtualbox to do adversarial simulation. This allows you to test (mostly) your host based…

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Change detection based on remote sensing (RS) data is an important method of detecting changes on the Earth’s surface and has a wide range of applications in urban planning, environmental monitoring,…

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMEN…

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Below is a outline of the book chapters: To download some of the datasets for the book, you will need a Kaggle account and an API token. To use the Kaggle API: If you do not have a GPU, run the follo…

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Clone and set up ARES 2.0 via the following commands: If you derive value from ARES 2.0 in your endeavors, kindly cite our paper on adversarial robustness, which encompasses all models, attacks, and…

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Thus, you may use this library to improve your dataset quality: To run experiment follow these steps: To determine the best sampling strategy, ROC AUC scores of each dataset were scaled (min-max scal…

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:

This repository contains a curated list of some of the awesome small projects made in Python that you can code away this summer. It includes analysis of different Python modules, a deep analysis of t…

🗣️ Tool to generate adversarial text examples and test machine learning models against them

This library allows you to generate texts using these methods, and simulate these kind of attacks on your machine learning models. By exposing your model to these texts offline, you will be able to b…

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

RL Algorithms implemented in Python for the task of global path planning for mobile robot. Such system is said to have feedback. The agent acts on the environment, and the environment acts on the age…

Create adversarial attacks against machine learning Windows malware detectors

If you use our library, please cite us! Also, depending on the manipulations / formalization you are using, please cite our work: If you encounter something strange, feel free to open an issue! I am …

A Python library for Secure and Explainable Machine Learning

SecML can run with Python >= 3.6 with no additional configuration steps required, as all its dependencies are available as wheel packages for the principal macOS versions, Linux distributions and …

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

This is Andrew Norton's capstone research work. The goal is to perform a similar function to Google's TensorFlow Playground, but for evasion attacks in adversiaral machine learning. It is a web ser…

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Skeletons are a compact representation that can be used to visualize objects, trace the connectivity of an object, or otherwise analyze the object's geometry. Kimimaro was designed for use with high …

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

This repository contains the code and models for the paper Meraner, A., Ebel, P., Zhu, X. X., & Schmitt, M. (2020). Cloud removal in Sentinel-2 imagery using a deep residual neural network and SA…

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

See below how medigan can be run from the command line to generate synthetic medical images. Model information can be found in: To install the current release, simply run: Or, alternatively via conda…

Python package for machine learning for healthcare using a OMOP common data model

This library was developed in order to facilitate rapid prototyping in Python of predictive machine-learning models using longitudinal medical data from an OMOP CDM-standard database. omop-learn supp…

Solid Python toolkit for those in the security industry. Some by me, most by smarter people.

If you think a project should be included here I really want to know, but keep in mind that this isn't supposed to be a dictionary. I want to keep the best, covering as many bases as possible while m…