Python Task-oriented-dialogue Resources

MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann*, David Mizrahi*, Andrei Atanov, Amir Zamir Website | arXiv | BibTeX Official PyTo

06_Python_Object_Class Introduction 👋 Objected oriented programming as a discipline has gained a universal following among developers. Python, an in-

90_Python_Exercises_and_Challenges The best way to learn Python is by practicing examples. This repository contains the examples on basic and advance

NLP Albumentations For Data Augmentation This repository contains helper functions which can help you generate additional data points depending on you

KB-NER: a Knowledge-based System for Multilingual Complex Named Entity Recognition The code is for the winner system (DAMO-NLP) of SemEval 2022 MultiC

❤ THIS REPO WILL CLOSED IN 31 OCT 00:00 ❤ This repository will automatically assign the hacktoberfest and hacktoberfest-accepted labels to all submitt

TorchMultimodal (Alpha Release) Introduction TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

The Official Implementation of CLIB (Continual Learning for i-Blurry) Online Continual Learning on Class Incremental Blurry Task Configuration with An

MMChat This repo contains the code and data for the LREC2022 paper MMChat: Multi-Modal Chat Dataset on Social Media. Dataset MMChat is a large-scale d

Note: This repo is adpoted from https://github.com/UNIMIBInside/Smart-Mobility-Prediction. Due to technical reasons, I did not fork their code. Introd

Burtle A Better TURTLE. Makes making games easier. write less do more!! Documentation & guide: https://alannxq.github.io/burtle/ Installation pip inst

BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

Improving evidential deep learning via multi task learning It is a repository of AAAI2022 paper, “Improving evidential deep learning via multi-task le

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks We provide the code (in PyTorch) and datasets for our paper "On Size-Orient

Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)

GF.py STILL WIP Gamefuck.py is a programming language based off brainfuck. It is oriented towards game development, and as such has many commands spec

DexterRedTool Author: Dexter Delandro CSEC 473 - Spring 2022 This tool persisten

Using PyTorch Perform intent classification using three different models to see which one is better for this task

Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship

RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S

Multi-task head pose estimation in-the-wild We provide C++ code in order to replicate the head-pose experiments in our paper https://ieeexplore.ieee.o

Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv

Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification

A python script that will automate the boring task of login to the captive portal again and again

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl

TGraM Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling, Qibin He, Xian Sun, Zhiyuan Yan, Beibei Li, Kun Fu Abstract Rece

Source Code of AAAI22-2171 Introduction The source code includes training and inference procedures for the proposed method of the paper submitted to t

Scripts to convert the Ted-MDB corpora into the formats for DISRPT shared task and the converted corpora.

gramcorrector A simple tutoral for error correction task, based on Pytorch Grammatical Error Detection (sentence-level) a binary sequence-based classi

R-YOLOv4 This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detect

Workshop OOP Découvrez la programmation orientée objet C'est quoi un objet ? Un

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

C0mptCrypt allows you to encrypt strings of text. It can only be decrypted using C0mptCrypt and not by random online tools. You can use this for a variety of things from creating passwords, to encrypting HWIDs.

SqueezeNet-Implementation This repository attempts to replicate the SqueezeNet architecture using TensorFlow discussed in the research paper: "Squeeze

1st place solution in CCF BDCI 2021 ULSEG challenge This is the source code of the 1st place solution for ultrasound image angioma segmentation task (

Medical-Insurance-Project-OOP Python Classes: Medical Insurance Project using Object Oriented Programming Concepts Classes are an incredibly useful pr

Validating Simulations of User Query Variants This repository contains the scripts of the experiments and evaluations, simulated queries, as well as t

repro_eval repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments. The measures were d

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Prerequisites This repo is built upon a local copy of transfo

FocusFace This is the official repository of "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition" accepted at IEEE International C

A task Provided by A respective Alternal Ai and Ml based Company to complete it .

T2Net Task Transformer Network for Joint MRI Reconstruction and Super-Resolution (MICCAI 2021) [Paper][Code] Dependencies numpy==1.18.5 scikit_image==

Creating Multi Task Models With Keras About The Project! I used the keras and Tensorflow Library, To build a Deep Learning Neural Network to Creating

Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

📑 Introduction A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to fin

Task Overview | Installation Instructions | Link to Module 3 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Self-Supervised Anomaly Segmentation Intorduction This is a PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmen

Task-manager-CLI with Priority Modification The functions for the app have been written in task.py file. 1. Install Node.js This project requires Node

Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc

NeuroFind A solution to the to the Task given by the Oberseminar of Messtechnik

GDSC-ML-Team---Interview-Task Task 1 : Clean or Messy room In this task we have to classify the given test images as clean or messy. - Link for datase

CLI based task manager tool This is the simple CLI tool can be helpful in increasing your productivity. More like your todolist. It uses Postgresql as

A novel Engagement Detection with Multi-Task Training (ED-MTT) system which minimizes MSE and triplet loss together to determine the engagement level of students in an e-learning environment.

Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th

LibMTL LibMTL is an open-source library built on PyTorch for Multi-Task Learning (MTL). See the latest documentation for detailed introductions and AP

A Straightforward Framework For Video Retrieval Using CLIP This repository contains the basic code for feature extraction and replication of results.

LetsGrowMore-Internship Completed task 1 and task 2 at LetsGrowMore as a data science intern. Task 1- Task 2- Creating a Decision Tree classifier and

Multi-task Multi-agent Soft Actor Critic for SMAC Overview The CARE formulti-task: Multi-Task Reinforcement Learning with Context-based Representation

Pose-Estimation This repo is a sub-task of the smart hospital bed project which is about implementing the task of pose estimation 😄 Many thanks to th

Meta learning algorithms to train cross-lingual NLI (multi-task) models

Making Emojis More Predictable by Karan Abrol, Karanjot Singh and Pritish Wadhwa, Natural Language Processing (CSE546) under the guidance of Dr. Shad

outlog Outlog it's a library to make logging a simple task!. I'm a lazy python user, the times that i do logging on my apps it's hard to do, a lot of

BRATS 2021 Solution For Segmentation Task This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmenta

Python-Automation-with-openpyxl Using openpyxl in Python, performed following tasks on an Excel Sheet containing Product Suppliers along with their pr

CoNLL-English NER Task en | ch Motivation Course Project review the pytorch framework and sequence-labeling task practice using the transformers of Hu

Dagon - An Asynchronous Task Graph Execution Engine Dagon is a job execution sys

Encryption Manager (python edition) VerseGroup's native encryption manager adapted for python applications. Function Generate new set of private and p

DistilBERT-Text-mining-authorship-attribution Dataset used: https://www.kaggle.com/azimulh/tweets-data-for-authorship-attribution-modelling/version/2

A task scheduler with task scheduling, timing and task completion time tracking functions. Could be helpful for time management in daily life.

MothPruning Scientific Overview Originally inspired by biological nervous systems, deep neural networks (DNNs) are powerful computational tools for mo

DialogLM Code for AAAI 2022 paper: DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. Pre-trained Models We release two ve

MT-ORL: Multi-Task Occlusion Relationship Learning Official implementation of paper "MT-ORL: Multi-Task Occlusion Relationship Learning" (ICCV 2021) P

Linear CLI (Unmaintained) Simple CLI interface for linear task manager Usage Install: pip install linearcli Setup: Generate a pe

Task-Aware Variational Adversarial Active Learning - Official Pytorch implementation of the CVPR 2021 paper Kwanyoung Kim, Dongwon Park, Kwang In Kim,

JSONManipulator JSONManipulator is a Python package to retrieve, add, delete, change and store objects in JSON files. Installation Use the package man

Multi Force This project is a non-object oriented open source, Software for Wind

DGMS This is the code of the paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks". Installation Our code works with Pytho

Enabling a developer to use Ontology Web Language (OWL) along with its reasoning capabilities in an Object Oriented Programming (OOP) paradigm, by pro

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

📑 Introduction A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to fin

Siamese Deep Neural Networks for Semantic Text Similarity PyTorch A repository c

Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin

snowfall helpful image handling utils - abstracts various file and opencv and pil features into result oriented functions usage examples: from image_h

PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the

LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L

Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.

T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation Place holder for dat

Joint-task Self-supervised Learning for Temporal Correspondence Project | Paper Overview Joint-task Self-supervised Learning for Temporal Corresponden

Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR 2019) To make better use of given limited labels, we propo

Knowledge Bridging for Empathetic Dialogue Generation This is the official implementation for paper Knowledge Bridging for Empathetic Dialogue Generat

Quaternions Class and mathematical functions for quaternion numbers. Installation Python This is a Python 3 module. If you don't have Python installed

Crystal-AI A simple AI that will give you si ple task and this is made with python Prerequsites: Python3.6.2 pyttsx3 pip install pyttsx3 pyaudio pip i

pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.

Procrastinate: PostgreSQL-based Task Queue for Python Procrastinate is an open-source Python 3.7+ distributed task processing library, leveraging Post

CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th

DHAP Source code of SIGIR2021 Long Paper: One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles . Preinstallation Fir

Intro Clepsydra is a mini framework for task scheduling All parts are designed to be replaceable. Main ideas are: No pickle! Tasks are stored in reada