3863 Repositories
Python Fake-news-detection-Data-Mining Libraries
A Dataset for Direct Quotation Extraction and Attribution in News Articles.
DirectQuote - A Dataset for Direct Quotation Extraction and Attribution in News Articles DirectQuote is a corpus containing 19,760 paragraphs and 10,3
ViSD4SA, a Vietnamese Span Detection for Aspect-based sentiment analysis dataset
UIT-ViSD4SA PACLIC 35 General Introduction This repository contains the data of the paper: Span Detection for Vietnamese Aspect-Based Sentiment Analys
Tools for working with MARC data in Catalogue Bridge.
catbridge_tools Tools for working with MARC data in Catalogue Bridge. Borrows heavily from PyMarc
collect training and calibration data for gaze tracking
Collect Training and Calibration Data for Gaze Tracking This tool allows collecting gaze data necessary for personal calibration or training of eye-tr
Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation.
Distant Supervision for Scene Graph Generation Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation. Introduction The pape
YOLOv5 detection interface - PyQt5 implementation
所有代码已上传,直接clone后,运行yolo_win.py即可开启界面。 2021/9/29:加入置信度选择 界面是在ultralytics的yolov5基础上建立的,界面使用pyqt5实现,内容较简单,娱乐而已。 功能: 模型选择 本地文件选择(视频图片均可) 开关摄像头
Unofficial Open Corporates CLI: OpenCorporates is a website that shares data on corporations under the copyleft Open Database License. This is an unofficial open corporates python command line tool.
Unofficial Open Corporates CLI OpenCorporates is a website that shares data on corporations under the copyleft Open Database License. This is an unoff
Home Assistant custom integration to fetch data from Powerpal
Powerpal custom component for Home Assistant Component to integrate with powerpal. This repository and integration is not affiliated with Powerpal. Th
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images.
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images (IEEE GRSL 2021) Code (based on mmdetection) for SSPNet: Scale Selec
Cryptocurrency Exchange Websocket Data Feed Handler
Cryptocurrency Exchange Websocket Data Feed Handler
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video.
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha
An helper library to scrape data from TikTok in one line, using the Influencer Hunters APIs.
TikTok Scraper An utility library to scrape data from TikTok hassle-free Go to the website » View Demo · Report Bug · Request Feature About The Projec
Method for facial emotion recognition compitition of Xunfei and Datawhale .
人脸情绪识别挑战赛-第3名-W03KFgNOc-源代码、模型以及说明文档 队名:W03KFgNOc 排名:3 正确率: 0.75564 队员:yyMoming,xkwang,RichardoMu。 比赛链接:人脸情绪识别挑战赛 文章地址:link emotion 该项目分别训练八个模型并生成csv文
novel deep learning research works with PaddlePaddle
Research 发布基于飞桨的前沿研究工作,包括CV、NLP、KG、STDM等领域的顶会论文和比赛冠军模型。 目录 计算机视觉(Computer Vision) 自然语言处理(Natrual Language Processing) 知识图谱(Knowledge Graph) 时空数据挖掘(Spa
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)
Active Learning for Deep Object Detection via Probabilistic Modeling This repository is the official PyTorch implementation of Active Learning for Dee
Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
Time-Sensitive-QA The repo contains the dataset and code for NeurIPS2021 (dataset track) paper Time-Sensitive Question Answering dataset. The dataset
Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay This repository contains the official PyTorch implementation for our ICCV2021 paper.
International Space Station data with Python research 🌎
International Space Station data with Python research 🌎 Plotting ISS trajectory, calculating the velocity over the earth and more. Plotting trajector
Code and data for learning to search in local branching
Code and data for learning to search in local branching
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
Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer"
TSOD Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer" Usage For training, open train_test, run p
Python package for processing UC module spectral data.
UC Module Python Package How To Install clone repo. cd UC-module pip install . How to Use uc.module.UC(measurment=str, dark=str, reference=str, heade
Code for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss"
PurNet Project for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss" Abstract Image-based salie
a discord bot coded in Python which shows news based on the term searched by the user
Noah Miller v1.0 a discord bot coded in Python which shows news based on the term searched by the user Add the bot to your server About This is a disc
AI Flow is an open source framework that bridges big data and artificial intelligence.
Flink AI Flow Introduction Flink AI Flow is an open source framework that bridges big data and artificial intelligence. It manages the entire machine
Script for scrape user data like "id,username,fullname,followers,tweets .. etc" by Twitter's search engine .
TwitterScraper Script for scrape user data like "id,username,fullname,followers,tweets .. etc" by Twitter's search engine . Screenshot Data Users Only
A D3.js plugin that produces flame graphs from hierarchical data.
d3-flame-graph A D3.js plugin that produces flame graphs from hierarchical data. If you don't know what flame graphs are, check Brendan Gregg's post.
wikirepo is a Python package that provides a framework to easily source and leverage standardized Wikidata information
Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai
Python-based Space Physics Environment Data Analysis Software
pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is
Framework to collect and process weather data from wttr.in.
Weathercrawler Automatic extraction and processing framework for weather data from wttr.in Installation tested with: Python 3.7.3 Python 3.9.4 git clo
Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.
Multi-Task Framework for Cross-Lingual Abstractive Summarization (MCLAS) The code for ACL2021 paper Cross-Lingual Abstractive Summarization with Limit
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Parrot Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models. A paraphrase framework is more t
MaD GUI is a basis for graphical annotation and computational analysis of time series data.
MaD GUI Machine Learning and Data Analytics Graphical User Interface MaD GUI is a basis for graphical annotation and computational analysis of time se
Multiview 3D object detection on MultiviewC dataset through moft3d.
Multiview Orthographic Feature Transformation for 3D Object Detection Multiview 3D object detection on MultiviewC dataset through moft3d. Introduction
Rethinking Transformer-based Set Prediction for Object Detection
Rethinking Transformer-based Set Prediction for Object Detection Here are the code for the ICCV paper. The code is adapted from Detectron2 and AdelaiD
Efficient matrix representations for working with tabular data
Efficient matrix representations for working with tabular data
Pun Detection and Location
Pun Detection and Location “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition Yichao Zhou, Jyun-yu Jia
novel deep learning research works with PaddlePaddle
Research 发布基于飞桨的前沿研究工作,包括CV、NLP、KG、STDM等领域的顶会论文和比赛冠军模型。 目录 计算机视觉(Computer Vision) 自然语言处理(Natrual Language Processing) 知识图谱(Knowledge Graph) 时空数据挖掘(Spa
Multimodal Descriptions of Social Concepts: Automatic Modeling and Detection of (Highly Abstract) Social Concepts evoked by Art Images
MUSCO - Multimodal Descriptions of Social Concepts Automatic Modeling of (Highly Abstract) Social Concepts evoked by Art Images This project aims to i
Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"
StyleAttack Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer" Prepare Pois
Benchmark datasets, data loaders, and evaluators for graph machine learning
Overview The Open Graph Benchmark (OGB) is a collection of benchmark datasets, data loaders, and evaluators for graph machine learning. Datasets cover
Face Library is an open source package for accurate and real-time face detection and recognition
Face Library Face Library is an open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and us
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
DeCLIP Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. Our paper is available in arxiv Updates ** Ou
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
OpenFace 2.2.0: a facial behavior analysis toolkit Over the past few years, there has been an increased interest in automatic facial behavior analysis
Python and OpenCV-based scene cut/transition detection program & library.
Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.6.1 (October 11, 2021) Main Webpage: py.scenedetect.com Documentation: manual.scenede
Face Mask Detection on Image and Video using tensorflow and keras
Face-Mask-Detection Face Mask Detection on Image and Video using tensorflow and keras Train Neural Network on face-mask dataset using tensorflow and k
A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.
A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
DataPrep — The easiest way to prepare data in Python
DataPrep — The easiest way to prepare data in Python
A data visualization curriculum of interactive notebooks.
A data visualization curriculum of interactive notebooks, using Vega-Lite and Altair. This repository contains a series of Python-based Jupyter notebooks.
Code for Efficient Visual Pretraining with Contrastive Detection
Code for DetCon This repository contains code for the ICCV 2021 paper "Efficient Visual Pretraining with Contrastive Detection" by Olivier J. Hénaff,
Python Library for Signal/Image Data Analysis with Transport Methods
PyTransKit Python Transport Based Signal Processing Toolkit Website and documentation: https://pytranskit.readthedocs.io/ Installation The library cou
Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.
Uncertainty-based OOD detection Exploring the link between uncertainty estimates obtained by "exact" Bayesian inference and out-of-distribution (OOD)
"Domain Adaptive Semantic Segmentation without Source Data" (ACM MM 2021)
LDBE Pytorch implementation for two papers (the paper will be released soon): "Domain Adaptive Semantic Segmentation without Source Data", ACM MM2021.
Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and
A cross-lingual COVID-19 fake news dataset
CrossFake An English-Chinese COVID-19 fake&real news dataset from the ICDMW 2021 paper below: Cross-lingual COVID-19 Fake News Detection. Jiangshu Du,
Ground truth data for the Optical Character Recognition of Historical Classical Commentaries.
OCR Ground Truth for Historical Commentaries The dataset OCR ground truth for historical commentaries (GT4HistComment) was created from the public dom
Scrape data on SpaceX: Capsules, Rockets, Cores, Roadsters, SpaceX Info
SpaceX Sofware I developed software to scrape data on SpaceX: Capsules, Rockets, Cores, Roadsters, SpaceX Info to use the software you need Python a
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack ByteTrack is a simple, fast and strong multi-object tracker. ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang,
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection This repository is an official implementation of the AAAI 2021 paper Co-mi
Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022
Time Masking for Temporal Language Models This repository provides a reference implementation of the paper: Time Masking for Temporal Language Models
Morphable Detector for Object Detection on Demand
Morphable Detector for Object Detection on Demand (ICCV 2021) PyTorch implementation of the paper Morphable Detector for Object Detection on Demand. I
Code for the IJCAI 2021 paper "Structure Guided Lane Detection"
SGNet Project for the IJCAI 2021 paper "Structure Guided Lane Detection" Abstract Recently, lane detection has made great progress with the rapid deve
Scraping news from Ucsal portal with Scrapy.
NewsScraping Esse é um projeto de raspagem das últimas noticias, de 2021, do portal da universidade Ucsal http://noosfero.ucsal.br/institucional Tecno
A Python package that scrapes Google News article data while remaining undetected by Google.
A Python package that scrapes Google News article data while remaining undetected by Google. Our scraper can scrape page data up until the last page and never trigger a CAPTCHA (download stats: https://pepy.tech/project/GoogleNewsScraper)
Using Selenium with Python to Web Scrap Popular Youtube Tech Channels.
Web Scrapping Popular Youtube Tech Channels with Selenium Data Mining, Data Wrangling, and Exploratory Data Analysis About the Data Web scrapi
👁️ Tool for Data Extraction and Web Requests.
httpmapper 👁️ Project • Technologies • Installation • How it works • License Project 🚧 For educational purposes. This is a project that I developed,
The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
The open-source web scrapers that feed the Los Angeles Times' California coronavirus tracker. Processed data ready for analysis is available at datade
A tool for scraping and organizing data from NewsBank API searches
nbscraper Overview This simple tool automates the process of copying, pasting, and organizing data from NewsBank API searches. Curerntly, nbscrape onl
A web scraping pipeline project that retrieves TV and movie data from two sources, then transforms and stores data in a MySQL database.
New to Streaming Scraper An in-progress web scraping project built with Python, R, and SQL. The scraped data are movie and TV show information. The go
A tool to easily scrape youtube data using the Google API
YouTube data scraper To easily scrape any data from the youtube homepage, a youtube channel/user, search results, playlists, and a single video itself
Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.
Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio
Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which
DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis.
DaDRA (day-druh) is a Python library for Data-Driven Reachability Analysis. The main goal of the package is to accelerate the process of computing estimates of forward reachable sets for nonlinear dynamical systems.
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.
Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr
pyETT: Python library for Eleven VR Table Tennis data
pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation
A collection of learning outcomes data analysis using Python and SQL, from DQLab.
Data Analyst with PYTHON Data Analyst berperan dalam menghasilkan analisa data serta mempresentasikan insight untuk membantu proses pengambilan keputu
Python Package for DataHerb: create, search, and load datasets.
The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.
The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button
HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets
HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays o
Additional tools for particle accelerator data analysis and machine information
PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f
Open Data Cube analyses continental scale Earth Observation data through time
Open Data Cube Core Overview The Open Data Cube Core provides an integrated gridded data analysis environment for decades of analysis ready earth obse
Toolchest provides APIs for scientific and bioinformatic data analysis.
Toolchest Python Client Toolchest provides APIs for scientific and bioinformatic data analysis. It allows you to abstract away the costliness of runni
A data analysis using python and pandas to showcase trends in school performance.
A data analysis using python and pandas to showcase trends in school performance. A data analysis to showcase trends in school performance using Panda
An end-to-end regression problem of predicting the price of properties in Bangalore.
Bangalore-House-Price-Prediction An end-to-end regression problem of predicting the price of properties in Bangalore. Deployed in Heroku using Flask.
Repositori untuk menyimpan material Long Course STMKGxHMGI tentang Geophysical Python for Seismic Data Analysis
Long Course "Geophysical Python for Seismic Data Analysis" Instruktur: Dr.rer.nat. Wiwit Suryanto, M.Si Dipersiapkan oleh: Anang Sahroni Waktu: Sesi 1
The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.
The OHSDI OMOP Common Data Model allows for the systematic analysis of healthcare observational databases.
Universal data analysis tools for atmospheric sciences
U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo
Django3 web app that renders OpenWeather API data ☁️☁️
nz-weather For a live build, visit - https://brandonru.pythonanywhere.com/ NZ Openweather API data rendered using Django3 and requests ☀️ Local Run In
Web service for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation based on OpenFace 2.0
OpenGaze: Web Service for OpenFace Facial Behaviour Analysis Toolkit Overview OpenFace is a fantastic tool intended for computer vision and machine le
Trained on Simulated Data, Tested in the Real World
Trained on Simulated Data, Tested in the Real World
News API consisting various sources from Tanzania
Tanzania News API News API consisting various sources from Tanzania. Fork the project Clone the project git clone https://github.com/username/news-a
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.
Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove
A synthetic texture-invariant dataset for object detection of UAVs
A synthetic dataset for object detection of UAVs This repository contains a synthetic datasets accompanying the paper Sim2Air - Synthetic aerial datas
Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification Suncheng Xiang Shanghai Jiao Tong University Over
Perform Linear Classification with Multi-way Data
MultiwayClassification This is an R package to perform linear classification for data with multi-way structure. The distance-weighted discrimination (
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
TCube: Domain-Agnostic Neural Time series Narration This repository contains the code for the paper: "TCube: Domain-Agnostic Neural Time series Narrat
This repository is for EMNLP 2021 paper: It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
InterpretationData This repository is for our EMNLP 2021 paper: It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpr