Aircache: an open-source caching and security solution that can be integrated with most decoupled apps that use REST APIs for communicating
Aircache is an open-source caching and security solution that can be integrated with most decoupled apps that use REST APIs for communicating. It follows microservice compatibility and makes it possible to integrate it as part of a more comprehensive solution just as caching and security layer or on its own for increasing speed and decreasing the rate limit impact of no-code and low-code solutions. Why Caching? The reason that someone should use a caching solution is that caching can speed […]
Read more
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion RecognitionHua Zhang, Ruoyun Gou, Jili Shang, Fangyao Shen, Yifan Wu and Guojun Dai Abstract: Speech emotion recognition (SER) is a difficult and challenging task because of the affective variances between different speakers. The performances of SER are extremely reliant on the extracted features from speech signals. To establish an effective features extracting and classification model is still a challenging task. In this paper, we propose a new method for […]
Read more
Lightweight asyncio compatible utilities for consuming broker messages
aio-message-handler A simple asyncio compatible consumer for handling amqp messages. Installation pip install aio-message-handler Usage example Simple consumer: import asyncio from aio_message_handler.consumer import Consumer async def main(): consumer = Consumer(“amqp://guest:[email protected]/”) @consumer.message_handler(exchange=”myexchange”, binding_key=”key”) async def handler(msg): print(‘received:’, msg.body) msg.ack() await consumer.start() asyncio.run(main())
Read more
Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)
PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of this library is to provide qualitative comparisons for experimental TAS spectra – a complex and tedious process, especially for pristine materials. The main features include: An interactive TAS spectrum for a pristine semiconducting material Isolating spectra for individual band transitions from the overall TAS spectrum for the material. Spectra in different conditions: temperature, carrier concentrations (analogous to pump-probe […]
Read more
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 […]
Read moreRaising 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 […]
Read more
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 […]
Read more
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
Read more
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 […]
Read more