April 2, 2021 NLP, Security

A collection of scripts for finding threats in Office365

Py365 A collection of scripts for finding threats in Office365. Prerequisities This tool requires Reqeusts, Requests-cache and Jinja2 – these can be installed with pip install -r requirements.txtIt requires an administrative access to AzureAD & Office365 environment to set up but no specific account is required for its continued use.You will need to create a new application registration in the AzureAD portal and grant it the following permissions at the application level and grant admin consent for them: Microsoft Graph […]

April 2, 2021 Machine Learning, NLP

Boundary-preserving Mask R-CNN (ECCV 2020)

BMaskR-CNN This code is developed on Detectron2. Boundary-preserving Mask R-CNNECCV 2020Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu Abstract Tremendous efforts have been made to improve mask localization accuracy in instance segmentation.Modern instance segmentation methods relying on fully convolutional networks perform pixel-wise classification,which ignores object boundaries and shapes, leading coarse and indistinct mask prediction results and imprecise localization.To remedy these problems, we propose a conceptually simple yet effective Boundary-preserving Mask R-CNN (BMask R-CNN) toleverage object boundary information to improve mask […]

April 2, 2021 Machine Learning, NLP

Ultra-lightweight human body posture key point CNN model

Ultralight-SimplePose Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img, Support NCNN mobile terminal deployment Based on MXNET(>=1.5.1) GLUON(>=0.7.0) framework Top-down strategy: The input image is the person ROI detected by the object detector Lightweight mobile terminal human body posture key point model(COCO 17 person_keypoints) Detector:https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3 Mobile inference frameworks benchmark (4*ARM_CPU) Network Resolution Inference time (NCNN/Kirin 990) FLOPS Weight size HeatmapAccuracy Ultralight-Nano-SimplePose W:192 H:256 ~5.4ms 0.224BFlops 2.3MB 74.3% COCO2017 val keypoints metrics evaluate Average Precision […]

April 1, 2021 EFNMT, NLP

Issue #124 – Towards Enhancing Faithfulness for Neural MT

01 Apr21 Issue #124 – Towards Enhancing Faithfulness for Neural MT Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction While Neural Machine Translation is generally fluent, it occasionally can be deceptively so, either omitting or adding fragments. In today’s post we examine a method proposed to address this shortcoming and make the model more faithful to the source; Weng et al. (2020) propose a faithfulness-enhanced NMT model, called FENMT. The Problem They surmise that there are potentially 3 […]

March 31, 2021 Python

Python Community Interview With Will McGugan

Today I’m joined by Will McGugan. Will is a freelance Python developer based in Scotland and the creator of the popular Python library Rich. In this interview, we discuss the origins of Rich, what it’s like to maintain a popular Python package, building chess engines, and Will’s love of photography. Ricky: Thanks for joining me for this interview, Will. I’d like to start in the same manner we do with all our guests: how did you get into programming, and […]

March 31, 2021 Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 73: Non-autoregressive MT with Latent Codes

Today, I will comment on a paper on non-autoregressive machine translation that shows a neat trick for increasing output fluency. The title of the paper is Non-Autoregressive Translation by Learning Target Categorical Codes, has authors from several Chinese private and public institutions and will appear at this year’s NAACL Conference. Unlike standard, so-called autoregressive encoder-decoder architectures that decode output sequentially (and in theory in linear time), non-autoregressive models generate all outputs in parallel (and in theory in constant time, regardless […]

March 30, 2021 Python

Matplotlib Stack Plot – Tutorial and Examples

Introduction There are many data visualization libraries in Python, yet Matplotlib is the most popular library out of all of them. Matplotlib’s popularity is due to its reliability and utility – it’s able to create both simple and complex plots with little code. You can also customize the plots in a variety of ways. In this tutorial, we’ll cover how to plot Stack Plots in Matplotlib. Stack Plots are used to plot linear data, in a vertical order, stacking each […]

March 30, 2021 Python

Understanding Python List Comprehensions

One of Python’s most distinctive features is the list comprehension, which you can use to create powerful functionality within a single line of code. However, many developers struggle to fully leverage the more advanced features, or use them too much, which can lead to code that’s less efficient and harder to read. By the end of this course, you’ll understand the full power of Python list comprehensions and how to use their features comfortably. You’ll also gain an understanding of […]

March 30, 2021 NLP, Tool

A Python package that takes in GPS observations of formation flying satellites

LEOGPS LEOGPS is an open-source Python package that takes in GPS observations of formation flying satellites in pairs, to perform single point positioning (SPP) and precise relative positioning via carrier phase double-differential GPS (CDGPS). It currently supports only observations from the GPS constellation (L1/L2 frequency), with observation files in RINEX v2.XX format. LEOGPS gives credit to the University of Bern, for their kind sharing of CODE precise GPS ephemeris and clock files. Note that for formation flying applications, the purely […]

March 30, 2021 Command-line Tools, NLP

Plugin for using Python in an Nx Workspace

NxPy: Nx Python plugin This project was generated using Nx. The nx-python plugin allows users to create a basic python application using nx commands. To add the plugin to your project, just follow these steps: Getting started Create a Nx Workspace Before installing the nx-python plugin, it is required to have a pre-configured Nx Workspace . If you don’t, then proceed to create a new one executing the following command: npx create-nx-workspace python-workspace –preset=empty –cli=nx –nx-cloud true cd python-workspace Install […]

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