Call of Duty World League: Search & Destroy Outcome Predictions

Growing up as an avid Call of Duty player, I was always curious about what factors led to a team winning or losing a match. Was it strictly based on the number of kills each player obtained? Was it who played the objective more? Or was it something different? Finally, after years of waiting, I decided that it was time to find my answers. Coupling my love for Call of Duty and my passion for data science, I began to […]

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Free & simple way to encipher text

VenSipher is a free medium through which text can be enciphered. It can convert any text into an unrecognizable secret text that can only be deciphered by someone who has the auto-generated code along with the generated cipher. The secret text is different each time it’s generated (even for the same text), making it impossible to decipher. It’s well-designed and simple to use. Features Secret text and code are different each time Clean and simple interface Records are deletable from […]

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Simple mathematical operations on image, point and surface layers

This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers. addition subtraction multiplication division logical and, or, xor z-projection (mean and sum) Operations can be peformed on a single layer or between Image layers (functionaly pending for Surface and Point layers), for example adding one layer to another. When performing operations on two images of different sizes, the result will be the size of the smallest of the two images. Installation You can install […]

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A complete, self-contained example for training ImageNet at state-of-the-art speed with FFCV

A minimal, single-file PyTorch ImageNet training script designed for hackability. Run train_imagenet.py to get… …high accuracies on ImageNet …with as many lines of code as the PyTorch ImageNet example …in 1/10th the time. Results Train models more efficiently, either with 8 GPUs in parallel or by training 8 ResNet-18’s at once. See benchmark setup here: https://docs.ffcv.io/benchmarks.html. Citation If you use this setup in your research, cite: @misc{leclerc2022ffcv, author = {Guillaume Leclerc and Andrew Ilyas and Logan Engstrom and Sung Min […]

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Displays market info for LUNI/LUNA on the Terra Blockchain (Webscrape method currently scraping CoinMarketCap)

Displays market info for LUNI/LUNA on the Terra Blockchain (Webscrape method currently scraping CoinMarketCap). Will evolve over time 🙂 pip3 install bs4 discord dotenv flask requests Discord Developer Portal: https://discord.com/developers/applications/ Set up your bot in the given link above and click “Bot” on the left menu to see the “Token” section underneath the Username input. Keep this in mind, as you will need this later. This is a private key to your Bot, so make sure to keep it safe/hidden, […]

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Build a Dice-Rolling Application With Python

Building small projects, like a text-based user interface (TUI) dice-rolling application, will help you level up your Python programming skills. You’ll learn how to gather and validate the user’s input, import code from modules and packages, write functions, use for loops and conditionals, and neatly display output by using strings and the print() function. In this project, you’ll code an application that simulates dice-rolling events. To do so, you’ll use Python’s random module. In this tutorial, you’ll learn how to: […]

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Energy consumption estimation utilities for Jetson-based platforms

Energy consumption estimation utilities for Jetson-based platforms This repository contains a utility for measuring energy consumption when running various programs in NVIDIA Jetson-based platforms. Currently TX-2, NX, and AGX are supported. Usage If you want to measure the energy consumption of a program, you can directly run the utility providing the command that you want to measure: You can test the utility using a stress test (make sure you have installed stress – apt install stress), e.g., ./p_est stress –cpu […]

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