Python Time-series-data Resources

A Python framework for creating reproducible, maintainable and modular data science code.

carbon-footprint-calculator Conda distribution ~/anaconda3/bin/conda install anaconda-client conda-build ~/anaconda3/bin/conda config --set anaconda_u

GD-VCR Code for Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning (EMNLP 2021). Research Questions and Aims: How well can a model perform o

CovidLive AU Summary Slackbot This bot is a very simple slackbot that pulls data, summarises and posts up to date AU COVID stats to a provided slack c

Plan-then-Generate: Controlled Data-to-Text Generation via Planning Authors: Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier Code

Advance Image Downloader/Extractor(Job) Advance Image Downloader/Extractor (Job) is a Python-Flask web-based app, which will help the user download th

Twitter-Map This software allows the user to create maps of Twitter accounts. Installation git clone [email protected]:OGreenwood672/Twitter-Map.git cd T

Ditch YouTubeAPI (BETA) DYA ( Ditch YouTube API ) is a package created to power the user with YouTube Data API functionality without any API Key Detai

PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No

Selene is a Python library and command line interface for training deep neural networks from biological sequence data such as genomes.

Hildebrand Glow (DCC) Integration Home Assistant integration for energy consumption data from UK SMETS (Smart) meters using the Hildebrand Glow API. T

fix-google-takeout Warning Use at your own risk. Backup your photos. Overview Google takeout for photos

DataCLUE 以数据为中心的AI测评(DataCLUE) DataCLUE: A Chinese Data-centric Language Evaluation Benchmark 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE)的背景 任务描述 任务描述 实验结果

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

YOLOX train your data you need generate data.txt like follow format (per line- one image). prepare one data.txt like this: img_path1 x1,y1,x2,y2,clas

Heron Python This library provides easy access to the Heron Data API from applications written in Python. Documentation No language-specific docs are

Real-ESRGAN Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Ported from https://github.com/xinntao/Real-ESRGAN Depend

Single Node Injection Attack against Graph Neural Networks This repository is our Pytorch implementation of our paper: Single Node Injection Attack ag

time-series-kafka-demo Mock stream producer for time series data using Kafka. I walk through this tutorial and others here on GitHub and on my Medium

Flask and Docker Application Demo A Docker image is a read-only, inert template that comes with instructions for deploying containers. In Docker, ever

Smahat allows to encode a sequence of integer values using a fixed (for all values) number of bits but minimal with regards to the data range. For example: for a series of boolean values only one bit is needed, for a series of integer percentages 7 bits are needed, etc.

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

Project Setup Follow the steps below to set up the project on your environment. Local Development Create a virtual environment with Python 3.7 or high

wraeblast A library for interfacing with Path of Exile game and economy data, and a set of item filters geared towards trade league players. Filter Ge

PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on SIGGRAPH Aisa'20. Dependencies Python 3.7 Ubuntu

Pardus Lookout We protect the privacy of the data on your computer by using the camera of your Debian based Pardus operating system. The application i

Text-AutoAugment (TAA) This repository contains the code for our paper Text AutoAugment: Learning Compositional Augmentation Policy for Text Classific

项目的背景 SinglepassTextCluster, an TextCluster tool based on Singlepass cluster algorithm that use tfidf vector and doc2vec，which can be used for individ

Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below

Functional Data Analysis Python package

Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

NFRipper2.0 I could not shared all the code here Because its has lots of files inisde it https://new.gdtot.me/file/86651844 - Downoad File From Here.

Bot Scraper for telegram This bot use an AI to Work powered by BOG Team you must do the following steps to make the bot functional: Install the requir

Pinch-zoom This is a python project based on real-time hand-gesture detection, to zoom in or out, using the distance between the index finger and the

Encrypt your important data and files easily and safely with Kyrie Eleison.

Case studies with Bayesian methods

The baseline code is for EDA: Easy Data Augmentation techniques for boosting performance on text classification tasks

img2dataset Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports

✨A Python framework to explore, label, and monitor data for NLP projects

AEDA: An Easier Data Augmentation Technique for Text Classification This is the code for the EMNLP 2021 paper AEDA: An Easier Data Augmentation Techni

CLabel is a terminal-based cluster labeling tool that allows you to explore text data interactively and label clusters based on reviewing that

Duke Energy Gateway This is a custom integration for Home Assistant. It pulls near-real-time energy usage from Duke Energy via the Duke Energy Gateway

Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

FLAML - Fast and Lightweight AutoML

Add_noise_and_rir_to_speech The purpose of this code base is to add a specified signal-to-noise ratio noise from MUSAN dataset to a pure speech signal

skimpy Welcome Welcome to skimpy! skimpy is a light weight tool that provides summary statistics about variables in data frames within the console. Th

aws-lambda-scheduler aws-lambda-scheduler lets you call any existing AWS Lambda Function you have in the future. This functionality is achieved by dyn

The Devil's Eye searches the darkweb for information relating to the user's query and returns the results including .onion links and their description

EventTranscriptParser EventTranscriptParser is python based tool to extract forensically useful details from EventTranscript.db (Windows Diagnostic Da

wxee What is wxee? wxee was built to make processing gridded, mesoscale time series weather and climate data quick and easy by integrating the data ca

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data structure.

About This repository provides data and code for the paper: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development (subm

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Overview This code is for paper: Not All Unlabeled Data are Equa

ETNA is an easy-to-use time series forecasting framework. It includes built in toolkits for time series preprocessing, feature generation, a variety of predictive models with unified interface - from classic machine learning to SOTA neural networks, models combination methods and smart backtesting. ETNA is designed to make working with time series simple, productive, and fun.

Goblyn Metadata Enumeration What's Goblyn? Goblyn is a tool focused to enumeration and capture of website files metadata. How it works? Goblyn will se

Wrangl Ray-based parallel data preprocessing for NLP and ML. pip install wrangl # for latest pip install git+https://github.com/vzhong/wrangl See exa

ToxiChat Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Install depen

Aqueduct Framework for creating efficient data processing pipelines. Contact Feel free to ask questions in telegram t.me/avito-ml Key Features Increas

Codes for ECBSR Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices Xindong Zhang, Hui Zeng, Lei Zhang ACM Multimedia 202

DeepConsensus DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS)

Applicator Kit for Modo Applicator Kit for Modo allow you to apply Apple ARKit Face Tracking data from your iPhone or iPad with a TrueDepth camera to

System monitor A python-based real-time system monitoring tool Screenshots Installation Run My project with these commands pip install -r requiremen

Jir-thief This Module will connect to Jira's API using an access token, export to a word .doc, and download the Jira issues that the target has access

ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.

Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7

🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

Pomodouroboros Most pomodoro trackers assume you're going to start them. But time and tide wait for no one - the great pomodoro of the cosmos is cold

Quantel is a powerful financial data and insights API. It provides easy access to world-class financial information. Quantel goes beyond just financial statements, giving users valuable information like insider transactions, major shareholder transactions, share ownership, peers, and so much more.

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows WACV 2022 preprint:https://arxiv.org/abs/2107.1

Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of

Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Symbol Ratios Summary Sector LTP Undervalued Bonus % MEGA Strong Commercial Banks 368 5 10 JBBL Strong Development Banks 568 5 10 SIFC Strong Finance

A pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021" 1. Notes This is a pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in

Text Classification Baseline Pipeline for fast building text classification TF-IDF + LogReg baselines. Usage Instead of writing custom code for specif

GoGettr GoGettr is an API client for GETTR, a "non-bias [sic] social network." (We will not reward their domain with a hyperlink.) GoGettr is built an

Data Augmentation for Scene Text Recognition (ICCV 2021 Workshop) (Pronounced as "strog") Paper Arxiv Why it matters? Scene Text Recognition (STR) req

Filtration Curves for Graph Representation This repository provides the code from the KDD'21 paper Filtration Curves for Graph Representation. Depende

Multi-Modal Self-Supervision using GDT and StiCa This is an official pytorch implementation of papers: Multi-modal Self-Supervision from Generalized D

GenRep Project Page | Paper Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip

SpiderFoot Neo4j Tools Import, visualize, and analyze SpiderFoot OSINT data in Neo4j, a graph database Step 1: Installation NOTE: This installs the sf

JSON Inline Low code JSON to extract data in one line ENG RU Installation pip install json-inline Usage Rules Modificator Description ?key:value Searc

简介 通过PaddlePaddle框架复现了论文 Real-time Convolutional Neural Networks for Emotion and Gender Classification 中提出的两个模型，分别是SimpleCNN和MiniXception。利用 imdb_crop

DeltaCAT DeltaCAT is a Pythonic Data Catalog powered by Ray. Its data storage model allows you to define and manage fast, scalable, ACID-compliant dat

scamminator Blocking a scammer is not enough. It is time to fight back. Wouldn't be great if there was a tool that uses Artificial Intelligence to rep

MoVi-Toolbox Data Preparation, Processing, and Visualization for MoVi Data, https://www.biomotionlab.ca/movi/ MoVi is a large multipurpose dataset of

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud This repository contains a reference implementation of our Part-Aware Data Augment

Framework overview This library allows to quickly implement different architectures based on Reservoir Computing (the family of approaches popularized

Hurdles to Progress in Long-form Question Answering This repository contains the official scripts and datasets accompanying our NAACL 2021 paper, "Hur

Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or

Gorilla Time Series Compression This is an implementation (with some adaptations) of the compression algorithm described in section 4.1 (Time series c

LT-OCF: Learnable-Time ODE-based Collaborative Filtering Our proposed LT-OCF Our proposed dual co-evolving ODE Setup Python environment for LT-OCF Ins

Nasdaq Cloud Data Service (NCDS) Nasdaq Cloud Data Service (NCDS) provides a modern and efficient method of delivery for realtime exchange data and ot

The goal of this project is to provide an alternative way to get realtime data from Binance and use it in freqtrade despite the exchange used. It also uses talipp for computing

Query Selector Here you can find code and data loaders for the paper https://arxiv.org/pdf/2107.08687v1.pdf . Query Selector is a novel approach to sp

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data arXiv This is the code base for weakly supervised NER. We provide a