4499 Repositories
Python Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Libraries
This project is related to a No-SQL database, whose data are referred to autoctone botanic species
This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.
CellRank's reproducibility repository.
CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
VCC-Generator is a python script that generate VCC for testing purposes only
VCC-Generator is a python script that generate VCC for testing purposes only
ALSPAC data analysis studying links between screen-usage and mental health issues in children. Provided data has been synthesised.
ADSMH - Mental Health and Screen Time Group coursework for Applied Data Science at the University of Bristol. Overview The data set that you have was
The repository is my code for various types of data visualization cases based on the Matplotlib library.
ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas
STARCH compuets regional extreme storm physical characteristics and moisture balance based on spatiotemporal precipitation data from reanalysis or climate model data.
STARCH (Storm Tracking And Regional CHaracterization) STARCH computes regional extreme storm physical and moisture balance characteristics based on sp
Data aggregated from the reports found at the MCPS COVID Dashboard into a set of visualizations.
Montgomery County Public Schools COVID-19 Visualizer Contents About this project Data Support this project About this project Data All data we use can
This is the course project of AI3602: Data Mining of SJTU
This is the course project of AI3602: Data Mining of SJTU. Group Members include Jinghao Feng, Mingyang Jiang and Wenzhong Zheng.
Experimental musig2 python code, not for production use!
musig2-py Experimental musig2 python code, not for production use! This is just for testing things out. All public keys are encoded as 32 bytes, assum
Secsie is a configuration language made for speed, beauty, and ease of use.
secsie-conf pip3 install secsie-conf Secsie is a configuration language parser for Python, made for speed and beauty. Instead of writing config files
Automatically pick a winner who Retweeted, Commented, and Followed your Twitter account!
AutomaticTwitterGiveaways automates selecting winners for "Retweet, Comment, Follow" type Twitter giveaways.
This respository includes implementations on Manifoldron: Direct Space Partition via Manifold Discovery
Manifoldron: Direct Space Partition via Manifold Discovery This respository includes implementations on Manifoldron: Direct Space Partition via Manifo
Todo - You could use terminal to set your todo
Python Tutorial You can learn how to build a terminal application(CLI applicatio
Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”
HEP Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior Implementation Python3 PyTorch=1.0 NVIDIA GPU+CUDA Training process The
Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.
Hire-Wave-MLP.pytorch Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP Resul
K Closest Points and Maximum Clique Pruning for Efficient and Effective 3D Laser Scan Matching (To appear in RA-L 2022)
KCP The official implementation of KCP: k Closest Points and Maximum Clique Pruning for Efficient and Effective 3D Laser Scan Matching, accepted for p
Code for "Unsupervised Source Separation via Bayesian inference in the latent domain"
LQVAE-separation Code for "Unsupervised Source Separation via Bayesian inference in the latent domain" Paper Samples GT Compressed Separated Drums GT
A menu for pygame. Simple, and easy to use
pygame-menu Source repo on GitHub, and run it on Repl.it Introduction Pygame-menu is a python-pygame library for creating menus and GUIs. It supports
This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures using receptive field analysis (RFA) and create graph visualizations of your architecture.
ReceptiveFieldAnalysisToolbox This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures usin
An ansible playbook to set up wireguard server.
Poor man's VPN (pay for only what you need) An ansible playbook to quickly set up Wireguard server for occasional personal use. It takes around five m
Web Scraping Instagram photos with Selenium by only using a hashtag.
Web-Scraping-Instagram This project is used to automatically obtain images by web scraping Instagram with Selenium in Python. The required input will
Python data loader for Solar Orbiter's (SolO) Energetic Particle Detector (EPD).
Data loader (and downloader) for Solar Orbiter/EPD energetic charged particle sensors EPT, HET, and STEP. Supports level 2 and low latency data provided by ESA's Solar Orbiter Archive.
Code of 3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces Installation After cloning the repo open
Data Analytics on Genomes and Genetics
Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass. DONE by TEAM SIGMA!
client attack remotely , this script was written for educational purposes only
client attack remotely , this script was written for educational purposes only, do not use against to any victim, which you do not have permission for it
Video Games Web Scraper is a project that crawls websites and APIs and extracts video game related data from their pages.
Video Games Web Scraper Video Games Web Scraper is a project that crawls websites and APIs and extracts video game related data from their pages. This
Predict the Site EUI, given the characteristics of the building and the weather data for the location of the building.
wids_datathon_2022 Description: Contains a data pipeline used to predict energy EUI Goals: Dataset exploration Automating the parameter fitting, gener
In this project , I play with the YouTube data API and extract trending videos in Nigeria on a particular day
YouTubeTrendingVideosAnalysis In this project , I played with the YouTube data API and extracted trending videos in Nigeria on a particular day. This
This repository structures data in title, summary, tags, sentiment given a fragment of a conversation
Understand-conversation-AI This repository structures data in title, summary, tags, sentiment given a fragment of a conversation How to install: pip i
Kinetics-Data-Preprocessing
Kinetics-Data-Preprocessing Kinetics-400 and Kinetics-600 are common video recognition datasets used by popular video understanding projects like Slow
Python Machine Learning Jupyter Notebooks (ML website)
Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Deep Reinforcement Learning Agents This repository contains a collection of reinforcement learning algorithms written in Tensorflow. The ipython noteb
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
NOTE We have noticed a lot of concern that PULSE will be used to identify individuals whose faces have been blurred out. We want to emphasize that thi
Semi-Automated Data Processing
Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
The bidirectional mapping library for Python.
bidict The bidirectional mapping library for Python. Status bidict: has been used for many years by several teams at Google, Venmo, CERN, Bank of Amer
Python Library to get fast extensive Dummy Data for testing
Dumda Python Library to get fast extensive Dummy Data for testing https://pypi.org/project/dumda/ Installation pip install dumda Usage: Cities from d
Displaying plot of death rates from past years in Poland. Data source from these years is in readme
Average-Death-Rate Displaying plot of death rates from past years in Poland The goal collect the data from a CSV file count the ADR (Average Death Rat
Advanced raster and geometry manipulations
buzzard In a nutshell, the buzzard library provides powerful abstractions to manipulate together images and geometries that come from different kind o
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Download and display GOES-East and GOES-West data GOES-East and GOES-West satellite data are made available on Amazon Web Services through NOAA's Big
Shelf DB is a tiny document database for Python to stores documents or JSON-like data
Shelf DB Introduction Shelf DB is a tiny document database for Python to stores documents or JSON-like data. Get it $ pip install shelfdb shelfquery S
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.
2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou
A general-purpose wallet generator, for supported coins only
2gen A general-purpose generator for keys. Designed for all cryptocurrencies supporting the Bitcoin format of keys and addresses. Functions To enable
DCM is a set of tools that helps you to keep your data in your Django Models consistent.
Django Consistency Model DCM is a set of tools that helps you to keep your data in your Django Models consistent. Motivation You have a lot of legacy
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.
The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.
Data Science Course at Dept. of Computer Engineering, Chula 2022
2110446 Data Science Course at Chula 2022 Short links for exercises: Week1: Intro to Numpy, Pandas Numpy: https://colab.research.google.com/github/kao
Blockchain with crypto transaction feature
python script that asks users for their name, who they are sending J2 coin too(fictional cryptocurrency) and how much they're sending. it then prints the transaction detail in words and prints the hash number of the block
Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data
WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj
BSDotPy, A module to get a bombsquad player's account data.
BSDotPy BSDotPy, A module to get a bombsquad player's account data from bombsquad's servers. Badges Provided By: shields.io Acknowledgements Issues Pu
A project to work with databases in 4 worksheets, insert, update, select, delete using Python and MySqI
A project to work with databases in 4 worksheets, insert, update, select, delete using Python and MySqI As a small project for school or college hope it is useful
Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
FGHV Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing Requirements Python 3.6 Pytorch 1.5.0 Cud
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Knowledge Informed Machine Learning using a Weibull-based Loss Function Exploring the concept of knowledge-informed machine learning with the use of a
Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"
Code For the Paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective" Author: Robert Bamler Date: 22 D
Orange Chicken: Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Orange Chicken: Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation This repository contains code and data f
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement In this project, we proposed a Domain Disentanglement Faster-RCNN (DDF)
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks arXiv preprint: https://arxiv.org/abs/2201.02143. Architec
This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.
optimaladj: A library for computing optimal adjustment sets in causal graphical models This package implements the algorithms introduced in Smucler, S
Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates
Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates Installation Clone the repository: git clone https://github.com/Zengyi-Qi
Source code for the plant extraction workflow introduced in the paper “Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision”
Plant extraction workflow Source code for the plant extraction workflow introduced in the paper "Agricultural Plant Cataloging and Establishment of a
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Active Transport Analytics Model: A new strategic transport modelling and data visualization framework
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”
Historic weather - Home Assistant custom component for accessing historic weather data
Historic Weather for Home Assistant (CC) 2022 by Andreas Frisch github@fraxinas.
In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many more.
Python-for-DS In this repo, I will put all the code related to data science using python libraries like Numpy, Pandas, Matplotlib, Seaborn and many mo
This repository contains answers of the Shopify Summer 2022 Data Science Intern Challenge.
Data-Science-Intern-Challenge This repository contains answers of the Shopify Summer 2022 Data Science Intern Challenge. Summer 2022 Data Science Inte
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew
A modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python.
disfork A modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python. Key Features Modern Pythonic API using async a
A wrapper around ffmpeg to make it work in a concurrent and memory-buffered fashion.
Media Fixer Have you ever had a film or TV show that your TV wasn't able to play its audio? Well this program is for you. Media Fixer is a program whi
Sentinel-1 SAR time series analysis for OSINT use
SARveillance Sentinel-1 SAR time series analysis for OSINT use. Description Generates a time lapse GIF of the Sentinel-1 satellite images for the loca
Validate arbitrary image uploads from incoming data urls while preserving file integrity but removing EXIF and unwanted artifacts and RCE exploit potential
Validate arbitrary base64-encoded image uploads as incoming data urls while preserving image integrity but removing EXIF and unwanted artifacts and mitigating RCE-exploit potential.
This is a simple website crawler which asks for a website link from the user to crawl and find specific data from the given website address.
This is a simple website crawler which asks for a website link from the user to crawl and find specific data from the given website address.
NUM Alert - A work focus aid created for the Hack the Job hackathon
Contributors: Uladzislau Kaparykha, Amanda Hahn, Nicholas Waller Hackathon Team Name: N.U.M General Purpose: The general purpose of this program is to
Deep learning with TensorFlow and earth observation data.
Deep Learning with TensorFlow and EO Data Complete file set for Jupyter Book Autor: Development Seed Date: 04 October 2021 ISBN: (to come) Notebook tu
A way to scrape sports streams for use with Jellyfin.
Sportyfin Description Stream sports events straight from your Jellyfin server. Sportyfin allows users to scrape for live streamed events and watch str
Big Data & Cloud Computing for Oceanography
DS2 Class 2022, Big Data & Cloud Computing for Oceanography Home of the 2022 ISblue Big Data & Cloud Computing for Oceanography class (IMT-A, ENSTA, I
Generating new names based on trends in data using GPT2 (Transformer network)
MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin
Official git for "CTAB-GAN: Effective Table Data Synthesizing"
CTAB-GAN This is the official git paper CTAB-GAN: Effective Table Data Synthesizing. The paper is published on Asian Conference on Machine Learning (A
A Python package that can be used to download post and comment data from Reddit.
Reddit Data Collector Reddit Data Collector is a Python package that allows a user to collect post and comment data from Reddit. It is built on top of
Collection of tools to be more productive in your work environment and to avoid certain repetitive tasks. 💛💙💚
Collection of tools to be more productive in your work environment and to avoid certain repetitive tasks. 💛💙💚
A practical ML pipeline for data labeling with experiment tracking using DVC.
Auto Label Pipeline A practical ML pipeline for data labeling with experiment tracking using DVC Goals: Demonstrate reproducible ML Use DVC to build a
Send SMS text messages via email with as many accounts as you want :)
SMS-Spammer Send SMS text messages via email with as many accounts as you want :) Example Set Up Guide! To start log into the gmail account you would
A vanilla 3D face modeling on pose-invariant and multi-lightning image data
3D-Face-Modeling A vanilla 3D face modeling on pose-invariant and multi-lightning image data Table of Contents Background Install Usage Contributing B
🎁 3,000,000+ Unsplash images made available for research and machine learning
The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of
A collection of machine learning examples and tutorials.
machine_learning_examples A collection of machine learning examples and tutorials.
Always know what to expect from your data.
Great Expectations Always know what to expect from your data. Introduction Great Expectations helps data teams eliminate pipeline debt, through data t
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepCTR DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can
Jupyter notebook and datasets from the pandas Q&A video series
Python pandas Q&A video series Read about the series, and view all of the videos on one page: Easier data analysis in Python with pandas. Jupyter Note
Code and data accompanying Natural Language Processing with PyTorch
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning By Delip Rao and Brian McMahan Welcome. This is a
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of panda
FMA: A Dataset For Music Analysis
FMA: A Dataset For Music Analysis Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson. International Society for Music Information
A simple and easy to use Python's PIP configuration manager, similar to the Arch Linux's Java manager.
PIPCONF - The PIP configuration manager If you need to manage multiple configurations containing indexes and trusted hosts for PIP, this project was m
A SMTP server for use as a pytest fixture that implements encryption and authentication.
SMTPDFix: Test email, locally A simple SMTP server based on aiosmtpd for use as a fixture with pytest that supports encryption and authentication. All
Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), and the University of Utah Pando Archive System.
Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), and the University of Utah Pando Archive System.
Predictive Modeling & Analytics on Home Equity Line of Credit
Predictive Modeling & Analytics on Home Equity Line of Credit Data (Python) HMEQ Data Set In this assignment we will use Python to examine a data set
Implements a fake news detection program using classifiers.
Fake news detection Implements a fake news detection program using classifiers for Data Mining course at UoA. Description The project is the categoriz
Feature engineering library that helps you keep track of feature dependencies, documentation and schema
Feature engineering library that helps you keep track of feature dependencies, documentation and schema
A collection of data structures and algorithms I'm writing while learning
Data Structures and Algorithms: This is a collection of data structures and algorithms that I write while learning the subject Stack: stack.py A stack
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions Project Page | Paper If you find our work useful for your research, please con
Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data
1 Meta-FDMIxup Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data. (ACM MM 2021) paper News! the rep