Python Asynchronous-tasks Resources

NLP_practice We will continuously update some NLP practice based on different tasks. prerequisites Software pytorch = 1.10 torchtext = 0.11.0 sklear

PyLabel pip install pylabel PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. I

This is a project of data parallel that running on NLP tasks.

CALVIN CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Oier Mees, Lukas Hermann, Erick Rosete,

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

DUE Evaluator The repository contains the evaluator covering all of the metrics required by tasks within the DUE Benchmark, i.e., set-based F1 (for KI

quattro: task control for asyncio quattro is an Apache 2 licensed library, written in Python, for task control in asyncio applications. quattro is inf

Natural Language Processing Tasks and Examples With the advancement of A.I. technology in recent years, natural language processing technology has bee

MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy achievi

Syne Tune This package provides state-of-the-art distributed hyperparameter optimizers (HPO) where trials can be evaluated with several backend option

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks This repository contains the official code for the

sync-my-tasks Copy tasks between apps Report a Bug · Request a Feature . Ask a Question Table of Contents Table of Contents Getting Started Developmen

Introduction Asynchronous cache manager designed for horizontally scaled web applications. NOTE: Currently has implementation only for FastAPI using R

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21) Citation If y

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Image Classification Dataset: Google Landmark, COCO, ImageNet Model: Efficient

slue-toolkit We introduce Spoken Language Understanding Evaluation (SLUE) benchmark. This toolkit provides codes to download and pre-process the SLUE

mark3 (WIP) A modern Minecraft server wrapper written in python3 with asyncio TODO Note: The order of the following checklist doesn't necessarily mean

What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of

My personal template for a discord bot, including an asynchronous database and colored logging :)

A benchmark of data-centric tasks from across the machine learning lifecycle.

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo

nvdiffmodeling [origin_code] Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Autom

Python: Asynchronous client for the Open-Meteo API. Asynchronous client for the Open-Meteo API. About Open-Meteo offers free weather forecast APIs for

Python: Asynchronous client for the Tailscale API Asynchronous client for the Tailscale API. About This package allows you to control and monitor Tail

Uniformer - Pytorch Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification ta

PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f

AWS API Gateway Websocket Asynchronous Pusher Fast AWS API Gateway websockets notifications' pusher using Python AsyncIO for managing asynchronous and

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional

aiopygismeteo Асинхронная обёртка для Gismeteo.ru. Синхронная версия здесь. Установка python -m pip install -U aiopygismeteo Документация https://aiop

Exploiting a Zoo of Checkpoints for Unseen Tasks This repo includes code to reproduce all results in the above Neurips paper, authored by Jiaji Huang,

TestMakerProject A simple program which gets a file(CSV/Excel) with tasks and creates different variants The main program is QTengine.py You only have

Scripts-To-Automate-This A compilation of useful scripts for common tasks Name What it does Type Add file extensions Adds ".png" to a list of file nam

Utils to quickly evaluate many 🤗 models on the GLUE tasks

Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform

AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just

Kush's Utils Tool is my personal collection of scripts which is used to automated daily tasks. It is a evergrowing collection of scripts and will continue to evolve till the day I program. This is also my first python project.

stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an

MindCraft Authors: Cristian-Paul Bara*, Sky CH-Wang*, Joyce Chai This is the official code repository for the paper (arXiv link): Cristian-Paul Bara,

Ansible Playbook Grapher ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles.

Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T

Status: Archive (code is provided as-is, no updates expected) Grade School Math [Blog Post] [Paper] State-of-the-art language models can match human p

AI_Personal_Voice_Assistant_Using_Python A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perf

Driver Buddy Reloaded Quickstart Table of Contents Installation Usage About Driver Buddy Reloaded Finding DispatchDeviceControl Labelling WDM & WDF St

typed CLI tool for typescript tasks & migrations Installation Usage $ typed --list Subcommands: bootstrap 🔨 Bootstrap your environment for TypeS

Jarvis 🤖 🤖 Jarvis is an virtual assistant which can some tasks easy for you like surfing on web opening an app and much more... 🤖 🤖 Developer : su

dragonscales 🐉 dragonscales is a highly customizable asynchronous job-scheduler framework. This framework is used to scale the execution of multiple

Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks This is the master thesi

SSKT(Accepted WACV2022) Concept map Dataset Image dataset CIFAR10 (torchvision) CIFAR100 (torchvision) STL10 (torchvision) Pascal VOC (torchvision) Im

Seedr Python Client Seedr API built with 💛 by Souvik Pratiher Hit that Star button if you like this kind of SDKs and wants more of similar SDKs for o

AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery

MotionEye/MotionEyeOS Authenticated RCE A Python 3 script that uploads a tasks.pickle file that enables RCE in MotionEye. You need administrator crede

Integrating 🔗 Celery with Django via Redis server ,To-Do asynchronously 👀task without stopping the main-flow 📃 of Django-project . It increase your speed 🚀 and user experience 🤵 of website

SageMaker Projects: Multiple Choice Deployment A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of

Selling_Books_Bot Description Say, you have a bunch of items you need no more and you want to sell it all out. That's where you're going to have to us

Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks

简体中文 | English News [2021-10-12] PaddleNLP 2.1版本已发布！新增开箱即用的NLP任务能力、Prompt Tuning应用示例与生成任务的高性能推理！ 🎉 更多详细升级信息请查看Release Note。 [2021-08-22]《千言：面向事实一致性的生

Uncertainty Baselines The goal of Uncertainty Baselines is to provide a template for researchers to build on. The baselines can be a starting point fo

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy for sma

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating

中文 | English 一个易用的高性能异步 web 框架。 Index.py 文档 Index.py 实现了 ASGI3 接口，并使用 Radix Tree 进行路由查找。是最快的 Python web 框架之一。一切特性都服务于快速开发高性能的 Web 服务。 大量正确的类型注释 灵活且高效的

MMSceneGraph Introduction MMSceneneGraph is an open source code hub for scene graph generation as well as supporting downstream tasks based on the sce

TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

PyAutoEasy PyAutoEasy is a extension / wrapper around the famous PyAutoGUI, a cross-platform GUI automation tool to replace your boooring repetitive t

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network This repository is the official implementation of Speech Separati

TEACh Task-driven Embodied Agents that Chat Aishwarya Padmakumar*, Jesse Thomason*, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Ge

SinGlow is a part of my Singing voice synthesis system. It can extract features of sound, particularly songs and musics. Then we can use these features (or perfect encoding) for feature migrating tasks. For example migrate features of real singers' song to those virtual singers' songs.

ansible-trace Visualise where time is spent in your Ansible playbooks: what tasks, and what hosts, so you can find where to optimise and decrease play

Task Manager Automation Tool (TMAT) CLI Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process

General Purpose Scripts Introduction This repository holds a curated list of Python scripts which aim to help us automate daily and common tasks. You

Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. This library provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other libraries.

asyncio-socks-server A SOCKS proxy server implemented with the powerful python cooperative concurrency framework asyncio. Features Supports both TCP a

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models tabular data.

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

This tool was created in order to automate some basic OSINT tasks for penetration testing assingments. The main feature that I haven't seen much anywhere is the downloadd google dork function where this function first perform basic google dorking to find the targets public documents. These documents will then be downloaded to the attackers computer and can be used further to identify metadata about the client.

Asynchronous Advantage Actor-Critic in PyTorch This is PyTorch implementation of A3C as described in Asynchronous Methods for Deep Reinforcement Learn

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks

This tool lets you convert strings and numbers between number bases (2, 8, 10 and 16) as well as ASCII text. You can use the IP address analyzer to find out details on IPv4 and perform abbreviation as well as expansion on IPv6 addresses.It can also perform a two's complement calculation as well.

Clock This app helps you with routine tasks. Alarm Clock Timer Stop Watch World Time (Which city you want) About me Full name: Matin Ardestani Age: 14

Human benchmark fooler Summary A set of Python scripts with Selenium designed to surpass human limits in accomplishing simple tasks available on https

About RabbitMQ connector library for Python that is fully integrated with the aio-pika framework. Introduction BunnyStorm is here to simplify working

🖥️ Asynchronous Python client for the P1 Monitor

Asynchronous and also synchronous non-official QvaPay client for asyncio and Python language. This library is still under development, the interface could be changed.

Pre-trained (foundation) models across tasks (understanding, generation and translation), languages (100+ languages), and modalities (language, image, audio, vision + language, audio + language, etc.)

pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks A Transformer-based library for SocialNLP classification tasks. Currently

nmigen-tool command line tool for frequent nmigen tasks (generate sources, show design) Usage: generate verilog: nmigen generate verilog nmigen_librar

DIY Async I/O Creating low-level foundations and abstractions for asynchronous programming in Python (i.e., implementing concurrency without using thr

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Multimodal Deep Learning 🎆 🎆 🎆 Announcing the multimodal deep learning repository that contains implementation of various deep learning-based model

AioMoe Fully asynchronous trace.moe API wrapper Installation You can install the stable version from PyPI: $ pip install aiomoe Or get it from github

Libraries, tools and tasks created and used at DeepMind Robotics.

Pincer An asynchronous python API wrapper meant to replace discord.py ❗ The package is currently within the planning phase 📌 Links ｜Join the discord

Leveraged-grid-trading-bot The code is designed to perform infinity grid trading strategy in FTX exchange. The basic trader named Gridtrader.py contro

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

NEWLY ADDED A3G A NEW GPU/CPU ARCHITECTURE OF A3C FOR SUBSTANTIALLY ACCELERATED TRAINING!! RL A3C Pytorch NEWLY ADDED A3G!! New implementation of A3C

OpenStickFirmware is open source software designed to handle any and all tasks required in a custom Fight Stick. It can handle being the brains of your entire stick, or just handling the bells and whistles while your Brook board talks to your console.

py_extract Py_extract is a simple, light-weight python library to handle some extraction tasks using less lines of code. Still in Development Stage! I