Simply scratch test scores and exam times of candidates

Nó chỉ để cào 1 trang web hocvalamtheobac.vn Tạo file tên người dùng và mật khẩu xen kẽ lẫn nhau rồi lưu dưới dạng 1 file .txt Copy đường dẫn của file vừa tạo và Paste vào file config.txt Copy đường dẫn file chromedriver.exe trong thư mục project sau đó Paset vào file config.txt Bạn phải đặt tên thư mục và đường dẫn đều phải là English :)) nghĩa đen. Nếu bạn muốn thử cứ đặt Vietnamese thử đi mình […]

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Download h3t4y for later read

Download 2ten for later read Tải 2ten về đọc thôi nào các bạn ơiiiiiiii! (Tải từ 2tenvn nhé) NEW UPDATE BELOW! Usage:python get_that_2ten.py New version is coming!!! What’s new: New function: Now can download a list of chapter. User provide the home link of comic/manga (which is including every chapter of it) –> Tool will scan and download every found chapter. Adding cút question 🙂 jk lol New update 28 Nov 21: New function: Download every manga/stories of a specific […]

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Alura Curso Flask Parte 1

Ola! Vou listar as habilidades trabalhadas e explicar o codigo. 🚀 Technologies Este projeto foi desenvolvido com as seguintes tecnologias: ✔️ Python ✔️ Flask Habilidades desenvolvidas: ✔️ Aprenda a criar uma aplicação web com Flask ✔️ Faça um site elegante usando HTML e Bootstrap ✔️ Crie um sistema de login e autorização ✔️ Aprenda a definir rotas, redirecionamentos e templates ✔️ Crie URL dinâmicas Descrição: Durante esse curso, nós fizemos uma aplicação chamada jogoteca, que consiste em uma listagem de […]

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Unlocking new dimensions in image-generation research with Manifold Matching via Metric Learning

Generative image models offer a unique value by creating new images. Such images can be sharp super-resolution versions of existing images or even realistic-looking synthetic photographs. Generative Adversarial Networks (GANs) and their variants have demonstrated pioneering success with the framework of training two networks against each other: a generator network learns to generate realistic fake data that can trick a discriminator network, and the discriminator network learns to correctly tell apart the generated fake data from the real data. In […]

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Fusion 360 Write UserInterface For Python

This is a far more in-depth and advanced version of “Write user interface to a file API Sample” from https://help.autodesk.com/view/fusion360/ENU/?guid=GUID-d2b85a7e-fd08-11e4-9e07-3417ebd3d5be Quick warning, if you choose to have the full indepth file created, prepare for a file containing about 30,000 lines of text 🙂 (The minimal version is only about 6,000 lines) this script literally parses the entire fusion ui in a second or two including all controls, tabs, panels, workspaces, and command definitions so every command fusion has is included […]

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A repo by Lukas Schubotz and Raymon van Dinter

We’re the hackathon leftovers, but we are Too Good To Go ;-). A repo by Lukas Schubotz, Stef van Buuren, and Raymon van Dinter. We aim to improve current data preprocessing for FTM’s WOB data to analyze Shell and Dutch Governmental contacts. Synchronous visualisation of email threads Publications from the FTM “Dossier SHELL papers” https://www.ftm.nl/dossier/shell-papers suggest that timing of events is critical in the interactions between actors. It would therefore be useful if we could visualise the mail exchanges in […]

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A Python Tool that uses Shodan API’s to perform quick recon for vulnerabilities

A Python Tool that uses Shodan API’s to perform quick recon for vulnerabilities You must edit the python code, and insert your Shodan API Where it is stated & Save it. The word apache is already definted, and will extract whatever you change it to, so each time you can setup a word to perform the search, and you can save the output results using > output.txt in order to cat/work and grep things of interest. More info on tweaking […]

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Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX

Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX Stereo depth estimation on the cones images from the Middlebury dataset (https://vision.middlebury.edu/stereo/data/scenes2003/) Check the requirements.txt file. Additionally, pafy and youtube-dl are required for youtube video inference. DrivingStereo dataset, ONLY for the driving_sereo_test.pyscript. Link: https://drivingstereo-dataset.github.io/ pip install -r requirements.txt pip install pafy youtube-dl The original models were converted to different formats (including .onnx) by PINTO0309, the models can be found in his repository. The Pytorch pretrained model was […]

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