July 19, 2021 NLP

Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection

July 18, 2021 By: Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang Abstract Access to large corpora with strongly labelled sound events is expensive and difficult in engineering applications. Many researches turn to address the problem of how to detect both the types and the timestamps of sound events with weak labels that only specify the types. This task can be treated as a multiple instance learning (MIL) problem, and a key to it in the sound event detection (SED) […]

July 19, 2021 NLP

Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?

August 1, 2021 By: Pedro Rodriguez, Joe Barrow, Alexander Hoyle, John P. Lalor, Robin Jia, Jordan Boyd-Graber Abstract Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard model […]

July 19, 2021 FastAPI

A full Rest-API for JSON response included Docker Contains

Pexon-Rest-API A full Rest-API for request & response a JSON file included Docker Contains. Using FastAPI framework, high performance, fast to code, ready for production. Build a response & a request JSON file for handling the backend Side also with a container side for Docker. Fast respond and unit test for the main.py How to use : 1- To Use Pexon you need to check all requirements : pip install -r requirements.txt 2- to interact with live debug : you […]

July 19, 2021 Tool

An Efficient Model Parallelization Toolkit for Deployment

parallelformers An Efficient Model Parallelization Toolkit for Deployment. Parallelformers, which is based on Megatron LM, is designed to make model parallelization easier. You can parallelize various models in HuggingFace Transformers on multiple GPUs with a single line of code. Currently, Parallelformers only supports inference. Training features are NOT included. Why Parallelformers? You can load a model that is too large for a single GPU. For example, using Parallelformers, you can load a model of 12GB on two 8 GB GPUs. […]

July 19, 2021 Images

Speed up image analysis in Python with efficient reading

impy Speed up image analysis in Python with efficient reading, batch-processing, viewing functions and easily extend your own function for batch processing. Image analysis programatically is sometimes troublesome like … for multi-dimensional images, you need to check which is time-axis and which is channel axis and so on. you need to consider the output data types and shapes for every batch image processing. you need to care about all the images’ information such as the names and directories of original […]

July 19, 2021 Hardware

Library for Python 3 to communicate with the Google Chromecast

pychromecast Library for Python 3.6+ to communicate with the Google Chromecast. It currently supports: Auto discovering connected Chromecasts on the network Start the default media receiver and play any online media Control playback of current playing media Implement Google Chromecast api v2 Communicate with apps via channels Easily extendable to add support for unsupported namespaces Multi-room setups with Audio cast devices Check out Home Assistant for a ready-made solution using PyChromecast for controlling and automating your Chromecast or Cast-enabled device […]

July 19, 2021 Bot

Simple and convenient bot discord on Python

Parzibot Simple and convenient bot discord on Python. The source code of the bot is available to everyone. The bot used the English language. This is free open source software and if anyone wants to change things in advance. Commands Bot commands /8ball question – Ball of predictions /about – About bot /admin_help – Admin commands /clear Quantity – Clear chat /gg [game1 game2 … gameN] – Randomly chooses a game /help – Bot commands /ping – You ping /users […]

July 19, 2021 Transformer

Variable Transformer Calculator with python

VASCO – VAriable tranSformer CalculatOr Software que calcula informações de transformadores feita para a matéria de “Conversão Eletromecânica de Energia I” do curso de “Engenharia Elétrica” da Universidade Federal de Santa Maria Campus Cachoeira do Sul (UFSM-CS). Autores: Arthur Cordeiro Andrade João Gabriel Silva de Avellar Dependências pip install pygame Dependências: pip install pyinstaller Comando Compilar pyinstaller –noconfirm –onefile –windowed –icon “Images/Cruz-De-Malta.ico” –add-data “Images;Images/” –add-data “Sounds;Sounds/” “./VASCO.py” GitHub https://github.com/ArthurCoAnd/VASCO

July 19, 2021 Visualization

Service for visualisation of high dimensional for hydrosphere

Service for visualization of high dimensional for hydrosphere DEPENDENCIES DEBUG_ENV = bool(os.getenv(“DEBUG_ENV”, False)) APP_PORT = int(os.getenv(“APP_PORT”, 5000)) GRPC_PORT = os.getenv(“GRPC_PORT”, 5001) GRPC_UI_ADDRESS = os.getenv(“GRPC_UI_ADDRESS”, “localhost:9090”) HS_CLUSTER_ADDRESS = os.getenv(“HTTP_UI_ADDRESS”, “http://localhost”) SECURE = os.getenv(“SECURE”, False) MONGO_URL = os.getenv(“MONGO_URL”, “mongodb”) MONGO_PORT = int(os.getenv(“MONGO_PORT”, 27017)) MONGO_AUTH_DB = os.getenv(“MONGO_AUTH_DB”, “admin”) MONGO_USER = os.getenv(“MONGO_USER”) MONGO_PASS = os.getenv(“MONGO_PASS”) AWS_STORAGE_ENDPOINT = os.getenv(‘AWS_STORAGE_ENDPOINT’, ”) AWS_REGION = os.getenv(‘AWS_REGION’, ”) HYDRO_VIS_BUCKET_NAME = os.getenv(‘AWS_BUCKET’, ‘hydro-vis’) Assumptions: Model must have in it’s contract ’embedding’ output If model returns class prediction and confidence these […]

July 19, 2021 Deep Learning

NeuroMorphic Predictive Model with Spiking Neural Networks in Python

pynm NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) in Python using Pytorch. pynm is an open source, low-code library in python to build neuromorphic predictive models (Classification & Regression problems) using [Spiking Neural Networks (SNNs)] (https://en.wikipedia.org/wiki/Spiking_neural_network) at ease. It allows you to go from preparing your data to deploying your spiking model within minutes. SNNs are neural networks that mimics the biological brain. In the case of SNNs, the neurons accumulate the input activation until a threshold is reached, […]

« 1 … 589 590 591 592 593 … 972 »