225 Repositories
Python celery-tasks Libraries
Exploiting a Zoo of Checkpoints for Unseen Tasks
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,
A simple program which gets a file(CSV/Excel) with tasks and creates different variants
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
Here is the live demonstration of endpoints and celery worker along with RabbitMQ
whelp-task Here is the live demonstration of endpoints and celery worker along with RabbitMQ Before running the application make sure that you have yo
A compilation of useful scripts to automate common tasks
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
Utils to quickly evaluate many 🤗 models on the GLUE tasks
simple project management tool for educational purposes
Taskcamp This software is used for educational and demonstrative purposes. It's a simple project management tool powered by Django Framework Install B
I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,
Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.
AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just
A collection of daily usage utility scripts in python. Helps in automation of day to day repetitive tasks.
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.
STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums.
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
Simple reproduction of connection leak with celery/django/gevent
Redis connection leak with celery/django/gevent Reproduces celery issue at https://github.com/celery/celery/issues/6819 using gevented django web serv
Official code for our EMNLP2021 Outstanding Paper MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
MindCraft Authors: Cristian-Paul Bara*, Sky CH-Wang*, Joyce Chai This is the official code repository for the paper (arXiv link): Cristian-Paul Bara,
A command line tool to create a graph representing your Ansible playbook tasks and roles
Ansible Playbook Grapher ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles.
A general, feasible, and extensible framework for classification tasks.
Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T
State-of-the-art language models can match human performance on many tasks
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
A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.
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 is an IDA Pro Python plugin that helps automate some tedious Windows Kernel Drivers reverse engineering tasks.
Driver Buddy Reloaded Quickstart Table of Contents Installation Usage About Driver Buddy Reloaded Finding DispatchDeviceControl Labelling WDM & WDF St
CLI tool for typescript tasks & migrations
typed CLI tool for typescript tasks & migrations Installation Usage $ typed --list Subcommands: bootstrap 🔨 Bootstrap your environment for TypeS
🤖🤖 Jarvis is an virtual assistant which can some tasks easy for you like surfing on web opening an app and much more... 🤖🤖
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
Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks
Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks This is the master thesi
IEEE Winter Conference on Applications of Computer Vision 2022 Accepted
SSKT(Accepted WACV2022) Concept map Dataset Image dataset CIFAR10 (torchvision) CIFAR100 (torchvision) STL10 (torchvision) Pascal VOC (torchvision) Im
Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request.
Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,
Pyrin is an application framework built on top of Flask micro-framework to make life easier for developers who want to develop an enterprise application using Flask
Pyrin A rich, fast, performant and easy to use application framework to build apps using Flask on top of it. Pyrin is an application framework built o
Django database backed celery periodic task scheduler with support for task dependency graph
Djag Scheduler (Dj)ango Task D(AG) (Scheduler) Overview Djag scheduler associates scheduling information with celery tasks The task schedule is persis
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery
A Python 3 script that uploads a tasks.pickle file that enables RCE in MotionEye
MotionEye/MotionEyeOS Authenticated RCE A Python 3 script that uploads a tasks.pickle file that enables RCE in MotionEye. You need administrator crede
Integarting Celery with Django to asynchronous tasks 📃
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
Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks
Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
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
High-quality implementations of standard and SOTA methods on a variety of tasks.
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
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
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: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks
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
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating
A brand new hub for Scene Graph Generation methods based on MMdetection (2021). The pipeline of from detection, scene graph generation to downstream tasks (e.g., image cpationing) is supported. Pytorch version implementation of HetH (ECCV 2020) and TopicSG (ICCV 2021) is included.
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.
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
PyAutoEasy is a extension / wrapper around the famous PyAutoGUI, a cross-platform GUI automation tool to replace your boooring repetitive tasks.
PyAutoEasy PyAutoEasy is a extension / wrapper around the famous PyAutoGUI, a cross-platform GUI automation tool to replace your boooring repetitive t
A server shell for you to play with Powered by Django + Nginx + Postgres + Bootstrap + Celery.
A server shell for you to play with Powered by Django + Nginx + Postgres + Bootstrap + Celery.
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
TEACh Task-driven Embodied Agents that Chat Aishwarya Padmakumar*, Jesse Thomason*, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Ge
SinGlow: Generative Flow for SVS tasks in Tensorflow 2
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.
Visualise Ansible execution time across playbooks, tasks, and hosts.
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
Backend Boilerplate using Django,celery,Redis
Backend Boilerplate using Django,celery,Redis
Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process of them.
Task Manager Automation Tool (TMAT) CLI Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process
A repository containing several general purpose Python scripts to automate daily and common tasks.
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
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.
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.
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.
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.
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.
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks
This tool lets you perform some quick tasks for CTFs and Pentesting.
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.
A clock app, which helps you with routine tasks.
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
A Django email backend that uses a celery task for sending the email.
django-celery-email - A Celery-backed Django Email Backend A Django email backend that uses a Celery queue for out-of-band sending of the messages. Wa
A set of Python scripts to surpass human limits in accomplishing simple tasks.
Human benchmark fooler Summary A set of Python scripts with Selenium designed to surpass human limits in accomplishing simple tasks available on https
UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
Pre-trained (foundation) models across tasks (understanding, generation and translation), languages (100+ languages), and modalities (language, image, audio, vision + language, audio + language, etc.)
基于Pytorch的脚手架项目,Celery+FastAPI+Gunicorn+Nginx+Supervisor实现服务部署,支持Docker发布
cookiecutter-pytorch-fastapi 基于Pytorch的 脚手架项目 按规范添加推理函数即可实现Celery+FastAPI+Gunicorn+Nginx+Supervisor+Docker的快速部署 Requirements Python = 3.6 with pip in
A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks A Transformer-based library for SocialNLP classification tasks. Currently
command line tool for frequent nmigen tasks (generate sources, show design)
nmigen-tool command line tool for frequent nmigen tasks (generate sources, show design) Usage: generate verilog: nmigen generate verilog nmigen_librar
pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks
A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
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.
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.
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
Multimodal Deep Learning 🎆 🎆 🎆 Announcing the multimodal deep learning repository that contains implementation of various deep learning-based model
Libraries, tools and tasks created and used at DeepMind Robotics.
Libraries, tools and tasks created and used at DeepMind Robotics.
TorchDistiller - 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.
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.
OpenStickFirmware is open source software designed to handle any and all tasks required in a custom Fight Stick
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 is a simple, light-weight python library to handle some extraction tasks using less lines of code
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
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
ALFRED A Benchmark for Interpreting Grounded Instructions for Everyday Tasks Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han,
🔄 🌐 Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.
🔄 🌐 Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.
Production Grade Machine Learning Service
This project is made to help you scale from a basic Machine Learning project for research purposes to a production grade Machine Learning web service
[ICCV, 2021] Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks This is an official PyTorch code repository of the paper "Cloud Transformers:
Um aplicativo de usuários feito em Django REST Framework, nesse aplicativo eu modifiquei o modelo padrão de user do Django, adicionando campos personalizados e login com email e senha, também desenvolvi funcionalidades para a API e testes automatizados, para conferir tudo leia o README abaixo!
App de Usuários Esse é um app de usuários personalizado feito em Django REST Framework, nele eu modifiquei o model padrão de users do Django, adiciona
Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.
背景 安装教程 快速上手 (一)预训练模型 (二)机器翻译 (三)文本分类 TenTrans 进阶 1. 多语言机器翻译 2. 跨语言预训练 背景 TrenTrans是一个统一的端到端的多语言多任务预训练平台,支持多种预训练方式,以及序列生成和自然语言理解任务。 安装教程 git clone git
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: https://arxiv.org/abs/1711.05769 Pretrained models are available here: https://uofi.box.com/s/zap2p03tnst9dfisad4u0sfupc0y1fxt Datasets in Py
NLPShala , the best IDE for all Natural language processing tasks.
The revolutionary IDE for all NLP (Natural language processing) stuffs on the internet.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Piggyback: https://arxiv.org/abs/1801.06519 Pretrained masks and backbones are available here: https://uofi.box.com/s/c5kixsvtrghu9yj51yb1oe853ltdfz4q
improvement of CLIP features over the traditional resnet features on the visual question answering, image captioning, navigation and visual entailment tasks.
CLIP-ViL In our paper "How Much Can CLIP Benefit Vision-and-Language Tasks?", we show the improvement of CLIP features over the traditional resnet fea
[ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction
REval Table of Contents Introduction Overview Requirements Installation Probing Usage Citation License 🎓 Introduction REval is a simple framework for
gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.
gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks. It is built on top of the OpenAI Gym toolkit.
This is the code for our KILT leaderboard submission to the T-REx and zsRE tasks. It includes code for training a DPR model then continuing training with RAG.
KGI (Knowledge Graph Induction) for slot filling This is the code for our KILT leaderboard submission to the T-REx and zsRE tasks. It includes code fo
Asynchronous tasks in Python with Celery + RabbitMQ + Redis
python-asynchronous-tasks Setup & Installation Create a virtual environment and install the dependencies: $ python -m venv venv $ source env/bin/activ
FastAPI-PostgreSQL-Celery-RabbitMQ-Redis bakcend with Docker containerization
FastAPI - PostgreSQL - Celery - Rabbitmq backend This source code implements the following architecture: All the required database endpoints are imple
Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate in order to predict and suggest complex annotations. Markup also provides integrated access to existing and custom ontologies, enabling the prediction and suggestion of ontology mappings based on the text you're annotating.
Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate in order to predict and suggest complex annotations. Markup also provides integrated access to existing and custom ontologies, enabling the prediction and suggestion of ontology mappings based on the text you're annotating.
We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction
We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction. This repository aims to give easy access to state-of-the-art pre-trained models.
Import Notion Tasks to
Notion-to-Google-Calendar (1 way) Import Notion Tasks to Google Calendar NO MORE UPDATES WILL BE MADE TO THIS REPO. Attention has been put on a 2-way
A Django chatbot that is capable of doing math and searching Chinese poet online. Developed with django, channels, celery and redis.
Django Channels Websocket Chatbot A Django chatbot that is capable of doing math and searching Chinese poet online. Developed with django, channels, c
It is a personal assistant chatbot, capable to perform many tasks same as Google Assistant plus more extra features...
PersonalAssistant It is an Personal Assistant, capable to perform many tasks with some unique features, that you haven'e seen yet.... Features / Tasks
中文医疗信息处理基准CBLUE: A Chinese Biomedical LanguageUnderstanding Evaluation Benchmark
English | 中文说明 CBLUE AI (Artificial Intelligence) is playing an indispensabe role in the biomedical field, helping improve medical technology. For fur
Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.
U2Fusion Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal (VIS-IR, medical), multi
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks
YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us
Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery
Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,
Distributed Task Queue (development branch)
Version: 5.1.0b1 (singularity) Web: https://docs.celeryproject.org/en/stable/index.html Download: https://pypi.org/project/celery/ Source: https://git
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"
Spatially-Correlative Loss arXiv | website We provide the Pytorch implementation of "The Spatially-Correlative Loss for Various Image Translation Task
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks [Paper] [Project Website] This repository holds the source code, pretra
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
Dice Loss for NLP Tasks This repository contains code for Dice Loss for Data-imbalanced NLP Tasks at ACL2020. Setup Install Package Dependencies The c
skweak: A software toolkit for weak supervision applied to NLP tasks
Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels without pre-existing datasets. The only available option is often to collect and annotate texts by hand, which is expensive and time-consuming.
Differentiable rasterization applied to 3D model simplification tasks
nvdiffmodeling Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Automatic 3D Model
Layout Parser is a deep learning based tool for document image layout analysis tasks.
A Python Library for Document Layout Understanding
TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,
TextFlint is a multilingual robustness evaluation platform for natural language processing tasks, which unifies general text transformation, task-specific transformation, adversarial attack, sub-population, and their combinations to provide a comprehensive robustness analysis.
Tracking Progress in Natural Language Processing
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
Hierarchical Pretraining: Research Repository This is a research repository for reproducing the results from the project "Self-supervised pretraining