Deep Learning, NLP, NMT, AI, ML
GitHub – Ricahrd-Li/taichi-TopOpt: A topology optimization framework written in Taichi programming language. A topology optimization framework written in Taichi programming language. – GitHub – Ricahrd-Li/taichi-TopOpt: A topology optimization framework written in Taichi programming language.
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Utility to play with ADCS, allows to request tickets and collect information about related objects. Basically, it’s the impacket copy of Certify. Thanks to @harmj0y and @tifkin_ for its great work with ADCS. Request a certificate To request a certificate you can use the req command:
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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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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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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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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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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” 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. 🚀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
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