Python Data-Science-Intern-Challenge Resources

FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data, a relatively complete set of integrated multi-source data download terminal software fast is developed. The software contains most of the data sources required in the process of GNSS scientific research and learning. The way of parallel download greatly improves the efficiency of download.

ImageCoDe This repository contains code and data for ImageCoDe: Image Retrieval from Contextual Descriptions. Data All collected descriptions for the

⭐ For a 🍪 Pegasus Pull sensitive data from users on windows including discord tokens and chrome data. Features 🟩 Discord tokens 🟩 Geolocation data

FMEN Lowest memory consumption and second shortest runtime in NTIRE 2022 on Efficient Super-Resolution. Our paper: Fast and Memory-Efficient Network T

[AI Tech 3기 Level2 P Stage] 글자 검출 대회 팀원 소개 김규리_T3016 박정현_T3094 석진혁_T3109 손정균_T3111 이현진_T3174 임종현_T3182 Overview OCR (Optimal Character Recognition) 기술

dbt-oracle version 1.0.0 dbt (data build tool) adapter for the Oracle database. dbt "adapters" are responsible for adapting dbt's functionality to a g

DeepGNN Overview DeepGNN is a framework for training machine learning models on large scale graph data. DeepGNN contains all the necessary features in

Pipelines Este repositório contém fluxos de captura e subida de dados no datalake da Prefeitura do Rio de Janeiro. O repositório é gerido pelo Escritó

COVID-19 in East Asian Megacities This repository holds original Python code for processing and visualization COVID-19 data in East Asian megacities a

Molecular Nodes 🧬 🔬 💻 Buy Me a Coffee to Keep Development Going! Join a Community of Blender SciVis People! What is Molecular Nodes? Molecular Node

Azimuth, an open-source dataset and error analysis tool for text classification, with love from ServiceNow. Overview Azimuth is an open source applica

AccountGeneratorHelper Library to facilitate accounts generation. Unofficial API for temp email services. Receive SMS from free services. Parsing and

The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can be implementable into a web application.

It connects to Telegram's API. It generates JSON files containing channel's data, including channel's information and posts. You can search for a specific channel, or a set of channels provided in a text file (one channel per line.)

A Two-Stage Shake-Shake Network for Long-tailed Recognition of SAR Aerial View Objects 4st place solution for the PBVS 2022 Multi-modal Aerial View Ob

Adansons Base is a data management tool that organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps find essential insights from training results and improves AI performance.

handm_data_visualize_app Data visualization app by streamlit for H&M competition in kaggle. competition page: https://www.kaggle.com/competitions/h-an

Nanopore-Workflow Snakemake workflow to process and filter long read data from Oxford Nanopore Technologies. It is designed to compare whole human gen

GP-VAE This repository provides datasets and code for preprocessing, training and testing models for the paper: Diverse Text Generation via Variationa

SMDD-Synthetic-Face-Morphing-Attack-Detection-Development-dataset Official repository of the paper Privacy-friendly Synthetic Data for the Development

scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA

SharkTankInvestor This is the data scrapped of all the pitches made up potential startup's to established bussiness tycoons of India with all the deta

CNNs fruits360 Train CNNs for the fruits360 data set in NTOU CS「Machine Vision」class. CNN on a pretrained model Build a CNN on a pretrained model, Res

Text_Data_Analysis This is a Text Data Analysis Project Involving (YouTube Case Study). Problem Statement = Sentiment Analysis. Package1: There are m

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

DataAnalysis DataAnalysis: Some data analysis projects in charles_pikachu You can star this repository to keep track of the project if it's helpful fo

ALgorithmic_Trading_with_ML An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and

Synacor OSCON Challenge Solution (2012) This repository contains my code and solution to solve the Synacor OSCON 2012 Challenge. If you are interested

SDM - Lab 1 @ UPC 👨🏻‍💻 Table of contents Introduction Property Graph Dataset 1. Introduction This repo is all about what we have done in SDM lab 1

Open Data Day Publicbodies.org Nepal We've gathered on Saturday, 5th March 2022 with Open Knowledge Nepal in order to try and automate the collection

DVOF_check_tool Arcpy Tool developed for ArcMap 10.x that checks DVOF points against TDS data and creates an output feature class as well as a check d

Scrapping malaysianpaygap & Extracting data from the posts Recently @malaysianpaygap has gotten quite famous as a platform that enables workers throug

GBIF-biodiverse-OpenTree Linking data between GBIF, Biodiverse, and Open Tree of Life The python scripts will rely on opentree and Dendropy. To set up

cryptocfb A Python module to encrypt and decrypt data with AES-128 CFB mode. This module supports 8/64/128-bit CFB mode. It can encrypt and decrypt la

LeetComp Analysing compensations mentioned on the Leetcode forums (https://kuuts

Data Structures and Algorithms All the essential resources and template code nee

Nightmare: One Byte to ROP // Alternate Solution TLDR: One byte write, no leak.

WebScraping Web scraping Pyton program that scrapes Job website for python devel

ZEROGEN This repository contains the code for our paper “ZeroGen: Efficient Zero

A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr

Udacity's CS101: Intro to Computer Science - Building a Search Engine All soluti

📣 Welcome to the Rootski codebase! This is the codebase for the application run

SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul

COMP-445 Data Communications & Computer Networks Change Python version in Conda

hCaptcha Challenger 🚀 Gracefully face hCaptcha challenge with Yolov5(ONNX) embe

Lightweight (Bayesian) Media Mix Model This is not an official Google product. L

faune_proche Récupération des données de Faune-France près d'un lieu google maps

Lottery Purchase Prediction Model Objective and Goal Predict the lottery type th

Event based Gesture Recognition Gesture recognition on Event Data usually involv

VHub - An API that permits uploading of vulnerability datasets and return of the serialized data

Date created February 10, 2022 Project Title Explore US Bikeshare Data Descripti

An arduino/ESP project that can play back G-Force data previously recorded

This repository contains the software implementation of most algorithms used or developed in my research. The LaTeX and Python code for generating the

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).

Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors   In order to facilitate the res

VISNOTATE: An Opensource tool for Gaze-based Annotation of WSI Data Introduction Requirements Installation and Setup Supported Hardware and Software R

Kcse-Data-Analysis Data science project for exploratory analysis on the kcse grades dataset (Kamilimu Data Science Track) Findings The performance of

Vaex-Big-Data-Analytics-for-Airline-data A Python notebook (ipynb) created in Jupyter Notebook, which utilizes the Vaex library for Big Data Analytics

Health-Care-DS-Projects Data Science/Analysis Health Care Portfolio Consists Of 3 Projects: Mexico Covid-19 project, analyze the patient medical histo

RPGMaker-MV Translator 🕹️ 🎮 Use AI to translate all the dialogs and texts of your RPGMaker automatically. 👊 You worked hard to make your game, now

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

Code for the ToeplitzLDA classifier proposed in here. The classifier conforms sklearn and can be used as a drop-in replacement for other LDA classifiers. For in-depth usage refer to the learning from label proportions (LLP) example or the example script.

AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin

Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute

daaja This repository has a implementations of data augmentation for NLP for Japanese: EDA: Easy Data Augmentation Techniques for Boosting Performance

MoCap-Solver is a data-driven-based robust marker denoising method, which takes raw mocap markers as input and outputs corresponding clean markers and skeleton motions.

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Crowd-Kit: Computational Quality Control for Crowdsourcing Documentation Crowd-Kit is a powerful Python library that implements commonly-used aggregat

evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g

Fall 2021 CIS6930 Topics in Computing for Data Science This repository hosts course materials used for a 13-week course "CIS6930 Topics in Computing f

Customizing Visual Styles in Plotly Code for a workshop originally developed for an Unconference session during the Outlier Conference hosted by Data

Grab x Pulis Detailed analysis done to investigate possible reasons for delay in Grab services for NUS Data Analytics Competition 2022, to be found in

It is mainly for data visualization projects of Atmospheric Science, Marine Science, Environmental Science or other majors.

Open Stats Discover and share the KPIs of your OpenSource project. OpenStats is a library built on top of streamlit that extracts data from the Github

hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Python red-black trees A Python implementation of red-black trees. This code was originally copied from programiz.com, but I have made a few tweaks to

Davis-Sunflowers-Su21 Project goals: Plants influence their reproduction and mating system in many ways. Various factors such as time of flowering, ab

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed

GeneDisco ICLR-22 Challenge Starter Repository The starter repository for submissions to the GeneDisco challenge for optimized experimental design in

Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA

CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj

SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you

Dashboard and intuitive data downloader for more interactive experience with interpreting osm change data.

Data Analysis: Data Visualization of Airlines Anderson Cruz | London-UK | Linkedin | Nowa Capital Project: Traffic Airlines Airline Reporting Carrier

This program will help you to properly scrape all data from a specific website

Python script that parses the gpmd stream for GOPRO moov track (MP4) and extract the GPS info into a GPX (and kml) file.

SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification

L3Cube-MahaCorpus L3Cube-MahaCorpus a Marathi monolingual data set scraped from different internet sources. We expand the existing Marathi monolingual

IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling This is my code, data and approach for the IEEE-CIS Technical Challen

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i