A software to rick roll people

A python program for rick rolling people. (And annoying them too) What is rick roll? Read this wikipedia article – Rickrolling About program This program will mass create text channels and open many rick roll video tabs on the default web browser. Executable Application [exe] exe fill will be available soon Contributors Atidipt123 GitHub View Github    

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Group Activity Recognition with Clustered Spatial Temporal Transformer

Group Activity Recognition with Clustered Spatial-TemporalTransformer Backbone Style Action Acc Activity Acc Config Download Inv3+flow+pose pytorch 0.847 0.957 config model | test_log Volleyball dataset is here. Keypoint predicted by AlphaPose is here. Flow data is too huge to upload, it can be easily generated by flownet as mentioned in our paper. Train Model ./dist_train.sh $GPU_NUM $CONFIG Test Model ./dist_test.sh $GPU_NUM $CONFIG $CHECKPOINT A humble version has been released, containing core modules mentioned in this paper. Any suggestion are welcome. We […]

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Licensing-API: an API to create, manage and check keys for your projects

Licensing-API is an API to create, manage and check keys for your projects. Preview Features Web Interface Create/Delete/Activate/Deactivate Keys over WI or API Login Signup Password Fernet Encryption Automatic Key Counter What’s not covered? Anti-Bruteforce-Defence Sql-Injection (not-tested) Api-Limit I’m just a junior backend dev, and wasn’t able to cover these protections,because of missing Knowledge and this Project was made in 5 days, and I want to go on. Open a terminal Clone Repo cd (your folder) git clone https://github.com/screamz2k/License-API Run […]

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The reference baseline of final exam for XMU machine learning course

The baseline is a reference method for the final exam of machine learning course. Requirements Installation we use /python3.7 /torch 1.4.0+cpu /torchvision 0.5.0+cpu for training and evaluation. You can install the pytorch1.4.0 by using this. conda install pytorch==1.4.0 torchvision==0.5.0 cpuonly -c pytorch By the way, you can also use the pytorch with cuda to train this baseline. Prepare Datasets You need to create the ./data/ folder and put the ./mini_nico/train and ./mini_nico/test in Mini-NICO dataset to the ./data/ directory like

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A cairo port for Rari Capital Vaults

Architecture contracts ├─ CryptFactory — “Factory for deploying Crypt contracts for any ERC20 token.” ├─ Crypt — “Flexible, minimalist, and gas-optimized yield aggregator for earning interest on ERC20 tokens.” tests ├─ test_cryptFactory — “Test the CryptFactory contract.” └─ test_crypt – “Test the Crypt contract.” Contributing First time? Further installation instructions provided    

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Abstraction of a Unit, includes convertions and basic operations

Abstraction of a Unit, includes convertions and basic operations. —— EXAMPLE : Free Fall (No air resistance) ——- from units_test import Unit, Constants g = Constants.g velocity = Unit(1, “km.s^-1”) time = Unit(2, “min”) distance = – g*time**2*(1/2) + velocity*time print( distance ) # Unit( 4.93680e+04 m ) print( distance.to(“mi”).text() ) # 105.24040 mi Notes: When having a unit to the zero e.g. km^0 in an operation, it’ll give a float, ussually Cannot multiply by const on the left i.e. […]

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Quickhull Algorithm implemented in Python

This is an implementation of the QuickHull algorithm in Python. It randomly generates a set of points and finds the convex hull of this set of points using the Quickhull algorithm. More details about QuickHull algorithm here: Quickhull Algorithm If this code helped you visualize and understand the Quickhull algorithm, please give this repo a star! ⭐ To get this code to run on your machine, you will need to follows these steps: Clone this repo to your local machine […]

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