Create a table with row explanations, column headers, using matplotlib

Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap. Installation pip install mpl-table Usage Example usage can be found within tests/test_create_table.py, the table is created by passing dataframes containing text values, cell colour values, and text colour values. You’ll probably want to use bbox_inches=”tight” when you fig.savefig. Example output Why Wanted to be able to create tables containing heatmaps, along with row explanations and different treatment of high/low values […]

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Raising and Handling Python Exceptions

A Python program terminates as soon as it encounters an error. In Python, an error can be a syntax error or an exception. In this course, you’ll learn what an exception is and how it differs from a syntax error. After that, you’ll learn about raising exceptions and making assertions. Then, you’ll learn how to catch exceptions to prevent your program from unintentionally ending and to change the control flow of your program: You’ll learn about the basic use of […]

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Vector Quantized Diffusion Model for Text-to-Image Synthesis

Overview This is the official repo for the paper: Vector Quantized Diffusion Model for Text-to-Image Synthesis. VQ-Diffusion is based on a VQ-VAE whose latent space is modeled by a conditional variant of the recently developed Denoising Diffusion Probabilistic Model (DDPM). It produces significantly better text-to-image generation results when compared with Autoregressive models with similar numbers of parameters. Compared with previous GAN-based methods, VQ-Diffusion can handle more complex scenes and improve the synthesized image quality by a large margin. Framework Requirements […]

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Homography Decomposition Networks for Planar Tracking

This project is the offical PyTorch implementation of HDN(Homography Decomposition Networks) for planar object tracking.(AAAI 2022, Accepted) Project Page | Paper @misc{zhan2021homography, title={Homography Decomposition Networks for Planar Object Tracking}, author={Xinrui Zhan and Yueran Liu and Jianke Zhu and Yang Li}, year={2021}, eprint={2112.07909}, archivePrefix={arXiv}, primaryClass={cs.CV} } Installation Please find installation instructions in INSTALL.md. Quick Start: Using HDN Add HDN to your PYTHONPATH

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A simple Discord bot wrote with Python. Kizmeow let you track your NFT project and display some useful information

中文版 | English Ver A Discord bot wrote with Python. Kizmeow let you track your NFT project and display some useful information(e.g. market cap, floor price, total supply, eth price, gas fee, transaction history, display NFT owner, download original resolution NFT image…etc) by calling Etherscan and OpenSea API.(This repl is in development) If you like this project, please give me star on the upper right corner:) This repl is not finish yet. If you want to try, you can simply […]

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Python AVL Protocols Server for Codec 8 and Codec 8 Extended Protocols

Package provides python AVL Protocols Server for Codec 8 and Codec 8 Extended ProtocolsThis package will parse the AVL Data and log it in human readable JSON format. Store AVL data as JSON in any data base/store by extending this library. Note: Codec8 protocol support is under progress prerequisite Python 3.8+ How to start server Go to App directory and run python3.8 server.py How to test server with sample client Go to App directory and run python3.8 client.py How to […]

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Multi minecraft server helper for python

呐Yuki 您的群组服操作小助手。 使用Python3编写。使用 .yaml 配置文件记录子服,配合Screen管理Linux系统上的Minecraft子服,支持MCDR子服与非MCDR子服。 功能: 开启所有子服 关闭所有子服 重载所有子服MCDR 重载所有子服ChatBridge 使用方法: 安装Screen 使用前请确保您系统中装有Screen,Linux系统下可以使用如下命令安装: CentOS7/8: Ubentu/Debian: FreeBSD: ​ 注意:安装过程中数据校验需要输入 ‘y‘ 以继续安装。 安装Python依赖: pip3 install –r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple 根据.yaml文件内提示添加子服信息 给程序添加可执行权限: 于当前目录下使用yuki ,观察控制台输出测试程序是否正常运行: ​ 如:    

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Implicit neural differentiable FM synthesizer

The purpose of this project is to emulate arbitrary sounds with FM synthesis, where the parameters of the FM synth are learned by optimization. This idea was conceived and implemented during the Neural Audio Synthesis Hackathon 2021. Thanks to Ben Hayes for organizing the workshop and to Mia Chiquier for pointing me towards SIREN! Architecture Please refer to FMNet and Envelope in synth.py for the actual architectural details. This model takes as input a list of time steps t_1, t_2, […]

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SE-MSCNN: A Lightweight Multi-scaled Fusion Network for Sleep Apnea Detection Using Single-Lead ECG Signals

Abstract Sleep apnea (SA) is a common sleep disorder that occurs during sleep and its symptom is the reduction or disappearance of respiratory airflow caused by upper airway collapse. The SA would cause a variety of diseases like diabetes, chronic kidney disease, depression, cardiovascular diseases, or even sudden death. Early detecting SA and intervention can help individuals to prevent malignant events induced by SA. In this study, we propose a multi-scaled fusion network named SE-MSCNN for SA detection based on […]

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