A Scalable Quantum Benchmark Suite

SupermarQ is a suite of application-oriented benchmarks used to measure the performance of quantum computing systems. Installation The SupermarQ package is available via pip and can be installed in your current Python environment with the command: Using SupermarQ The benchmarks are defined as classes within supermarq/benchmarks/. Each applicationdefines two methods; circuit and score. These methods are used to generate the benchmarking circuit and evaluate its performanceafter execution on hardware. The quantum benchmarks within SupermarQ are designed to be scalable, meaning […]

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Reproducible experiments with 3D printers

Make it better, with data. And confidence. This repo is a collection of scripts and notes for running reproducible experiments with printers. You can run a single gcode action a whole bunch of times, conveniently, and record console outputs of interest from it. You can run one of multiple pre-defined tests, or add your own in Python. You can compare the before-and-after results from a test, with statistical confidence, to see if what you did… did anything at all. Conveniently, […]

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An optimal, byte-aligned, LZ+RLE hybrid encoder, designed to maximize decoding speed on NMOS 6502 and derived CPUs

An optimal, byte-aligned, LZ+RLE hybrid encoder, designed to maximize decoding speed on NMOS 6502 and derived CPUs TSCrunch is an optimal, byte-aligned, LZ+RLE hybrid encoder, designed to maximize decoding speed on NMOS 6502 and derived CPUs, while achieving decent compression ratio (for a bytecruncher, that is).TSCrunch was designed as the default asset cruncher for the upcoming game A Pig Quest, and, as such, it’s optimized for in-memory level compression, but as of version 1.0 it can also create Commodore 64 […]

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Easily report multiple telegram channels

Easily report multiple telegram channelsЛегко оскаржуйте декілька телеграм каналів одночасно ENG Attention: use on your own risk – While the script will sleep 10 to 20 seconds between requests and 50 to 60 seconds between each 10 requests, telegram might ban your account if you will use this app to report huge amount of accounts in short time.It’s better to use separate telegram account to use this app. Follow instructions hereto obtain your api_id and api_hash for telegram client Command […]

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Add-on to plotly which show molecule images on mouseover

molplotly is an add-on to plotly built on RDKit which allows 2D images of molecules to be shown in plotly figures when hovering over the data points. A readable walkthrough of how to use the package together with some useful examples can be found in this blog post while a runnable notebook can be found in examples/simple_usage_and_formatting.ipynb 🙂 Installation pip install molplotly conda install rdkit Usage

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Tracking People by Predicting 3D Appearance, Location & Pose

Code repository for the paper “Tracking People by Predicting 3D Appearance, Location & Pose”. Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik. This code repository provides a code implementation for our paper PHALP, with installation, preparing datasets, and evaluating on datasets, and a demo code to run on any youtube videos. Abstract : In this paper, we present an approach for tracking people in monocular videos, by predicting their future 3D representations. To achieve this, we first lift people to […]

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A console utility to bring up new Tor nodes easily

A console utility to bring up new Tor nodes easily Current progress Works: key generation node management commands file copy command execution on one or all nodes automatic configuration of tor on the node Works in progress: meaningful statistics ability to compile torspray to a standalone executable password login support Why? This tool is meant to empower less tech-savvy users to be able to quickly and effortlesslybring up tor nodes to help out the network in times of crisis. What […]

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Parallel waveform generation with DiffusionGAN

Parallel waveform generation with DiffusionGAN DiffWave: A Versatile Diffusion Model for Audio Synthesis, Zhifeng Kong et al., 2020. [arXiv:2009.09761] Tackling the Generative Learning Trilemma with Denoising Diffusion GANs, Xiao et al., 2021. [2112.07804] Requirements Tested in python 3.7.9 conda environment. Usage Download LJSpeech dataset from official:keithito. To train model, run train.py python -m utils.dump –data-dir /datasets/ljspeech –output-dir /datasets/ljspeech/vocdump –num-proc 8 python train.py –data-dir /datasets/ljspeech/vocdump –from-dump GitHub View Github    

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Currently Works on newer debian-based linux distributions

Currently Works on newer debian-based linux distributions Demo videos at the bottom AltServer from https://github.com/NyaMisty/AltServer-Linux/releases Special thanks to NyaMisty for AltServer-Linux project About the GUI It’s just a simple GUI to make the operation of AltServer-Linux more easier ,now inclides features below Features System tray app just like AltServer on MacOS Others editions are available For python edition,you can get from AltServer-Linux-PyScript For shell script edition,you can get from AltServer-Linux-ShellScript Announcement AltServer for Linux is from NyaMisty,so you should thank […]

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