Author: Deep Learner
A ROS2 port of the linorobot package
linorobot2 linorobot2 is a ROS2 port of the linorobot package. If you’re planning to build your own custom ROS2 robot (2WD, 4WD, Mecanum Drive) using accessible parts, then this package is for you. This repository contains launch files to easily integrate your DIY robot with Nav2 and a simulation pipeline to run and verify your experiments on a virtual robot in Gazebo. Once the robot’s URDF has been configured in linorobot2_description package, users can easily switch between booting up the […]
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The IDA Pattern Search plugin adds a capability of finding functions according to bit-patterns
by Argus Cyber Security Ltd. The IDA Pattern Search plugin adds a capability of finding functions according to bit-patterns into the well-known IDA Pro disassembler based on Ghidra’s function patterns format. Using this plugin, it is possible to define new patterns according to the appropriate CPU architecture and analyze the target binary to find and define new functions in it. For more detailed information, including Ghidra’s format for bit-patterns and how to generate new patterns, check out our blog post […]
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Educational python for Neural Networks
EpyNN is written in pure Python/NumPy. If you use EpyNN in academia, please cite: Malard F., Danner L., Rouzies E., Meyer J. G., Lescop E., Olivier-Van Stichelen S. EpyNN: Educational python for Neural Networks, 2021, Submitted. Documentation Please visit https://epynn.net/ for extensive documentation. Purpose EpyNN is intended for teachers, students, scientists, or more generally anyone with minimal skills in Python programming who wish to understand and build from basic implementations of Neural Network architectures. Although EpyNN can be used for […]
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Distfit: Probability density fitting
Star it if you like it! Background distfit is a python package for probability density fitting across 89 univariate distributions to non-censored data by residual sum of squares (RSS), and hypothesis testing.Probability density fitting is the fitting of a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon. distfit scores each of the 89 different distributions for the fit wih the empirical distribution and return the best scoring distribution. Functionalities The distfit library is […]
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α-Indirect Control in Onion-like Networks
We propose a fast, accurate, and scalable algorithm to detect ultimate controlling entities in global corporate networks. α-ICON uses company-participant links to identify super-holders who exert control in networks with millions of nodes. By exploiting onion-like properties of such networks we iteratively peel off the hanging vertices until a dense core remains. This procedure allows for a dramatic speed-up, uncovers meaningful structures, and handles circular ownership by design. Read our paper with the applications. As a toy example, consider the […]
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Graphic notes on Gilbert Strang’s “Linear Algebra for Everyone”
Graphic notes on Gilbert Strang’s “Linear Algebra for Everyone” The output file is “The-Art-of-Linear-Algebra.pdf“ Abstract I tried intuitive visualizations of important concepts introduced in “Linear Algebra for Everyone”. This is aimed at promoting understanding of vector/matrix calculations and algorithms from the perspectives of matrix factorizations. They include Column-Row (CR), Gaussian Elimination (LU), Gram-Schmidt Orthogonalization (QR), Eigenvalues and Diagonalization (Q Lambda Q^T), and Singular Value Decomposition (U Sigma V^T). GitHub https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra
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Azure AD Authentication for FastAPI apps made easy
Azure AD Authentication for FastAPI apps made easy. 🚀Description FastAPI is a modern, fast (high-performance), web framework for building APIs with Python, based on standard Python type hints. At Intility we use FastAPI for both internal (single-tenant) and customer-facing (multi-tenant) APIs. This package enables our developers
Read moretroposphere: Python library to create AWS CloudFormation descriptions
troposphere – library to create AWS CloudFormation descriptions The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes. Installation troposphere can be installed using the pip distribution system for Python by issuing: $ pip install troposphere To install troposphere […]
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Building Docker images on GitLab CI: Docker-in-Docker and Podman
If you’re using GitLab CI to build your software, you might also want to use it to build Docker images of your application. This can be a little tricky, because by default GitLab CI runs jobs inside Docker containers. The standard technique for getting around this problem is using Docker-in-Docker, but you can also use a simpler technique by using Podman, the reimplemented version of Docker. Let’s see why and how. Option #1: Docker-in-Docker When you run the docker command-line […]
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