3289 Repositories
Python multi-fidelity-data Libraries
Permeability Prediction Via Multi Scale 3D CNN
Permeability-Prediction-Via-Multi-Scale-3D-CNN Data: The raw CT rock cores are obtained from the Imperial Colloge portal. The CT rock cores are sub-sa
Council Data Project is an open-source project dedicated to providing journalists, activists, researchers, and all members of each community we serve with the tools they need to stay informed and hold their Council Members accountable.
CDP - Self Council Data Project Council Data Project is an open-source project dedicated to providing journalists, activists, researchers, and all mem
Supplemental Code for "ImpressionNet :A Multi view Approach to Predict Socio Facial Impressions"
Supplemental Code for "ImpressionNet :A Multi view Approach to Predict Socio Facial Impressions" Environment requirement This code is based on Python
Analysis of ROM image for Norsk Data VDU 301 S
This repository is meant to analyze the ROM images from Norsk Data VDU 301 S as provided at by Torfinn. To combine the two ROM image halves and extrac
CloakifyFactory & the Cloakify Toolset - Data Exfiltration & Infiltration In Plain Sight;
CloakifyFactory CloakifyFactory & the Cloakify Toolset - Data Exfiltration & Infiltration In Plain Sight; Evade DLP/MLS Devices; Social Engineering of
Deep learning library for solving differential equations and more
DeepXDE Voting on whether we should have a Slack channel for discussion. DeepXDE is a library for scientific machine learning. Use DeepXDE if you need
QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.
QuakeLabeler Quake Labeler was born from the need for seismologists and developers who are not AI specialists to easily, quickly, and independently bu
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python.
What is Retentioneering? Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Project code for weakly supervised 3D object detectors using wide-baseline multi-view traffic camera data: WIBAM.
WIBAM (Work in progress) Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data 3D object dete
Data Structures and algorithms package implementation
Documentation Simple and Easy Package --This is package for enabling basic linear and non-linear data structures and algos-- Data Structures Array Sta
CLI utility for updating the EVE Online static data export in a postgres database
EVE SDE Postgres updater CLI utility for updating the EVE Online static data export postgres database. This has been tested with the Fuzzwork postgres
A CLI for streaming, downloading anime shows. The shows data is indexed through GogoAnime.
Anime-cli A CLI for streaming, downloading anime shows. The shows data is indexed through GogoAnime. Please install mpv video-player for better experi
PyEmits, a python package for easy manipulation in time-series data.
PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial
The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
PRIMER The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. PRIMER is a pre-trained model for mu
[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”,
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling Introduction Contrastive learning approaches have achieved great success in
Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery"
SegSwap Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery" [PDF] [Project page] If our project
A Partition Filter Network for Joint Entity and Relation Extraction EMNLP 2021
EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction
One package to access multiple different data sources through their respective API platforms.
BESTLab Platform One package to access multiple different data sources through their respective API platforms. Usage HOBO Platform See hobo_example.py
Deep Learning Interviews book: Hundreds of fully solved job interview questions from a wide range of key topics in AI.
This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.
DaCeML - Machine learning powered by data-centric parallel programming.
Data-centric machine learning powered by DaCe
A plugin to simplify creating multi-page Dash apps
Multi-Page Dash App Plugin A plugin to simplify creating multi-page Dash apps. This is a preview of functionality that will of Dash 2.1. Background Th
This python project contains a class FileProcessor which allows one to grab a file and get some meta data and header information from it
This python project contains a class FileProcessor which allows one to grab a file and get some meta data and header information from it. In the current state, it outputs a PrettyTable to txt file as well as the raw data from that table into a csv.
CPSPEC is an astrophysical data reduction software for timing
CPSPEC manual Introduction CPSPEC is an astrophysical data reduction software for timing. Various timing properties, such as power spectra and cross s
A Big Data ETL project in PySpark on the historical NYC Taxi Rides data
Processing NYC Taxi Data using PySpark ETL pipeline Description This is an project to extract, transform, and load large amount of data from NYC Taxi
Example of scraping a paginated API endpoint and dumping the data into a DB
Provider API Scraper Example Example of scraping a paginated API endpoint and dumping the data into a DB. Pre-requisits Python = 3.9 Pipenv Setup # i
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create
TagLab: an image segmentation tool oriented to marine data analysis
TagLab: an image segmentation tool oriented to marine data analysis TagLab was created to support the activity of annotation and extraction of statist
10x faster matrix and vector operations
Bolt is an algorithm for compressing vectors of real-valued data and running mathematical operations directly on the compressed representations. If yo
Synthetic structured data generators
Join us on What is Synthetic Data? Synthetic data is artificially generated data that is not collected from real world events. It replicates the stati
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
Multi-angle c(q)uestion answering
Macaw Introduction Macaw (Multi-angle c(q)uestion answering) is a ready-to-use model capable of general question answering, showing robustness outside
PyMultiDictionary is a Dictionary Module for Python 3+ to get meanings, translations, synonyms and antonyms of words in 20 different languages
PyMultiDictionary PyMultiDictionary is a Dictionary Module for Python 3+ to get meanings, translations, synonyms and antonyms of words in 20 different
The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
PRIMER The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. PRIMER is a pre-trained model for mu
MG-GCN: Scalable Multi-GPU GCN Training Framework
MG-GCN MG-GCN: multi-GPU GCN training framework. For more information, please read our paper. After cloning our repository, run git submodule update -
A rule learning algorithm for the deduction of syndrome definitions from time series data.
README This project provides a rule learning algorithm for the deduction of syndrome definitions from time series data. Large parts of the algorithm a
Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).
DeepMTA_PyTorch Officical PyTorch Implementation of "Dynamic Attention-guided Multi-TrajectoryAnalysis for Single Object Tracking", Xiao Wang, Zhe Che
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Code for ReLoBRaLo. Abstract Physics Informed Neural Networks (PINN) are algorithms
abess: Fast Best-Subset Selection in Python and R
abess: Fast Best-Subset Selection in Python and R Overview abess (Adaptive BEst Subset Selection) library aims to solve general best subset selection,
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Authors: Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
Taming Visually Guided Sound Generation • [Project Page] • [ArXiv] • [Poster] • • Listen for the samples on our project page. Overview We propose to t
Multi-Joint dynamics with Contact. A general purpose physics simulator.
MuJoCo Physics MuJoCo stands for Multi-Joint dynamics with Contact. It is a general purpose physics engine that aims to facilitate research and develo
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
SPRING This is the repo for SPRING (Symmetric ParsIng aNd Generation), a novel approach to semantic parsing and generation, presented at AAAI 2021. Wi
EODAG is a command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider
EODAG (Earth Observation Data Access Gateway) is a command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider
NudeNet: Neural Nets for Nudity Classification, Detection and selective censoring
NudeNet: Neural Nets for Nudity Classification, Detection and selective censoring Uncensored version of the following image can be found at https://i.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka
A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku.
Automatic_Background_Remover A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku. 👉 https:
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
Missing Pixel Filler This is the official code repository for the Missing Pixel Filler by SpaceML. missing-pixel-filler is a python package that, give
Techdegree Data Analysis Project 2
Basketball Team Stats Tool In this project you will be writing a program that reads from the "constants" data (PLAYERS and TEAMS) in constants.py. Thi
This repository requires you to solve a problem by writing some basic python code.
Can You Solve a Problem? A beginner friendly repository that requires you to solve familiar problems with python. This could be as simple as implement
PoseViz – Multi-person, multi-camera 3D human pose visualization tool built using Mayavi.
PoseViz – 3D Human Pose Visualizer Multi-person, multi-camera 3D human pose visualization tool built using Mayavi. As used in MeTRAbs visualizations.
Multi-Glimpse Network With Python
Multi-Glimpse Network Our code requires Python ≥ 3.8 Installation For example, venv + pip: $ python3 -m venv env $ source env/bin/activate (env) $ pyt
Multi-choice answer sheet correction system using computer vision with opencv & python.
Multi choice answer correction 🔴 5 answer sheet samples with a specific solution for detecting answers and sheet correction. 🔴 By running the soluti
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
The implementation of the submitted paper "Deep Multi-Behaviors Graph Network for Voucher Redemption Rate Prediction" in SIGKDD 2021 Applied Data Science Track.
DMBGN: Deep Multi-Behaviors Graph Networks for Voucher Redemption Rate Prediction The implementation of the accepted paper "Deep Multi-Behaviors Graph
This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
GHCF This is our implementation of the paper: Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu and Shaoping Ma. 2
Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation
HeroGRAPH Code for my ORSUM @ RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation Paper, workshop pro
Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation
MKM-SR Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation Paper data and code This is the
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
MGNN-SPred This is our Tensorflow implementation for the paper: WenWang,Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, and Hongyuan Zha. 2020. Bey
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)
Image Completion Transformer (ICT) Project Page | Paper (ArXiv) | Pre-trained Models | Supplemental Material This repository is the official pytorch i
Kimimaro: Skeletonize Densely Labeled Images
Kimimaro: Skeletonize Densely Labeled Images # Produce SWC files from volumetric images. kimimaro forge labels.npy --progress # writes to ./kimimaro_o
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis This is the pytorch implementation for our MICCAI 2021 paper. A Mul
Lale is a Python library for semi-automated data science.
Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-safe fashion.
Glue is a python project to link visualizations of scientific datasets across many files.
Glue Glue is a python project to link visualizations of scientific datasets across many files. Click on the image for a quick demo: Features Interacti
Transform-Invariant Non-Negative Matrix Factorization
Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn
A collection of neat and practical data science and machine learning projects
Data Science A collection of neat and practical data science and machine learning projects Explore the docs » Report Bug · Request Feature Table of Co
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Project homepage
eyes is a Public Opinion Mining System focusing on taiwanese forums such as PTT, Dcard.
eyes is a Public Opinion Mining System focusing on taiwanese forums such as PTT, Dcard. Features 🔥 Article monitor: helps you capture the trend at a
🌌 Economics Observatory Visualisation Repository
Economics Observatory Visualisation Repository Website | Visualisations | Data | Here you will find all the data visualisations and infographics attac
A Discord bot to easily and quickly format your JSON data
Invite PrettyJSON to your Discord server Table of contents About the project What is JSON? What is pretty printing? How to use Input options Command I
Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training".
Mixup-Data-Dependency Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training". Running Alternating Line Exp
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
Codebase for learning control flow in transformers The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformer
Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.
Anomaly Detection in Multi-Agent Trajectories for Automated Driving This is the official project page including the paper, code, simulation, baseline
This folder contains the implementation of the multi-relational attribute propagation algorithm.
MrAP This folder contains the implementation of the multi-relational attribute propagation algorithm. It requires the package pytorch-scatter. Please
Source code for Transformer-based Multi-task Learning for Disaster Tweet Categorisation (UCD's participation in TREC-IS 2020A, 2020B and 2021A).
Source code for "UCD participation in TREC-IS 2020A, 2020B and 2021A". *** update at: 2021/05/25 This repo so far relates to the following work: Trans
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
Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition
🎵 MuSiQue: Multi-hop Questions via Single-hop Question Composition This is the repository for our paper "MuSiQue: Multi-hop Questions via Single-hop
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
A simple implementation of Kalman filter in Multi Object Tracking
kalman Filter in Multi-object Tracking A simple implementation of Kalman filter in Multi Object Tracking 本实现是在https://github.com/liuchangji/kalman-fil
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Authors: Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai
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
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
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
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
Multi-Car Racing Gym Environment This repository contains MultiCarRacing-v0 a multiplayer variant of Gym's original CarRacing-v0 environment. This env
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.
AITM TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequen
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
Aiotor - a pool of proxies, shifting on each request
Aiotor - a pool of proxies, shifting on each request
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
The Fastest multi spambot of Telegram 🤞 🤞
Revil Spam Bot The Fastest multi spambot of Telegram 🤞 🤞 𝚂𝚄𝙿𝙿𝙾𝚁𝚃 🖤 ᴄʀᴇᴀᴛᴏʀ 🖤 ⚡ 𝓡𝓮𝓿𝓲𝓵 𝓗𝓾𝓷𝓽𝓮𝓻 𝔐𝔲𝔩𝔱𝔦 ẞø✞︎ ⚡ 𝓐 𝕾мοοτн 𝓐и∂ 𝕱
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