11518 Repositories
Python A-real-data-analysis-and-modeling-project Libraries
The Qis|krypt⟩ is a software suite of protocols of quantum cryptography and quantum communications
The Qis|krypt⟩ is a software suite of protocols of quantum cryptography and quantum communications, as well, other protocols and algorithms, built using IBM’s open-source Software Development Kit for quantum computing Qiskit. ⚛️ 🔐
Fancy console logger and wise assistant within your python projects
Fancy console logger and wise assistant within your python projects. Made to save tons of hours for common routines.
Python library for the analysis of dynamic measurements
Python library for the analysis of dynamic measurements The goal of this library is to provide a starting point for users in metrology and related are
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.
Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python
Scramb.py Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python. Main features Scramb.py can scramble images regions. So
A High-Quality Real Time Upscaler for Anime Video
Anime4K Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming langua
Pygazpar to influxdb mqtt - Uses PyGazpar to retrieve natural gas consumption from GrDF French provider, and push it to InfluxDB
pygazpar_to_influxdb This repository uses PyGazpar to retrieve natural gas consu
Streamlit App For Product Analysis - Streamlit App For Product Analysis
Streamlit_App_For_Product_Analysis Здравствуйте! Перед вами дашборд, позволяющий
Delta Conformity Sociopatterns Analysis - Delta Conformity Sociopatterns Analysis
Delta_Conformity_Sociopatterns_Analysis ∆-Conformity is a local homophily measur
RuDOLPH: One Hyper-Modal Transformer can be creative as DALL-E and smart as CLIP
[Paper] [Хабр] [Model Card] [Colab] [Kaggle] RuDOLPH 🦌 🎄 ☃️ One Hyper-Modal Tr
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
Research into Forex price prediction from price history using Deep Sequence Modeling with Stacked LSTMs.
Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the
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
WebCash is an experimental new electronic cash ("e-cash") that enables decentralized and instant payments to anyone
Webcash WebCash is an experimental new electronic cash ("e-cash") that enables decentralized and instant payments to anyone, anywhere in the world. Us
A library for demo trading | backtest and forward test simulation
Trade Engine a library for demo trading | backtest and forward test simulation Features Limit/Market orders: you can place a Limit or Market order in
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
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
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
Multi-Time Attention Networks (mTANs) This repository contains the PyTorch implementation for the paper Multi-Time Attention Networks for Irregularly
Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."
DialogLM Code for AAAI 2022 paper: DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. Pre-trained Models We release two ve
The last walk-through project in code institute diploma course
Welcome Rocky.C, This is the Code Institute student template for Gitpod. We have preinstalled all of the tools you need to get started. It's perfectly
Moji sends text and fun facts from different APIs wit da use of a notification deamon
Moji sends text and fun facts from different APIs wit da use of a notification deamon. Can be runned via dmenu or rofi.
Meta Learning Backpropagation And Improving It (VSML)
Meta Learning Backpropagation And Improving It (VSML) This is research code for the NeurIPS 2021 publication Kirsch & Schmidhuber 2021. Many concepts
A Python module that allows you to create and use simple sockets.
EasySockets A Python module that allows you to create and use simple sockets. Installation The easysockets module can be installed using pip. pip inst
A smart personal companion and health assistant.
Steps to Install : Clone the repository Go to ResQ-Sources Execute ResQ-Lite.py --: Manual Controls : DanceRobot.py --: You can call functions like fo
Script that allows to download data with satellite's orbit height and create CSV with their change in time.
Satellite orbit height ◾ Requirements Python = 3.8 Packages listen in reuirements.txt (run pip install -r requirements.txt) Account on Space Track ◾
Plone Interface contracts, plus basic features and utilities
plone.base This package is the base package of the CMS Plone https://plone.org. It contains only interface contracts and basic features and utilitie
A Django GraphQL Starter that uses graphene and graphene_django to interface GraphQL.
Django GraphQL Starter GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data... According to the doc
You can crack any zip file and get the password.
Zip-Cracker Video Lesson : This is a Very powerfull Zip File Crack tool for termux users. Check 500 000 Passwords in 30 seconds Unique Performance Che
A tool for RaceRoom Racing Experience which shows you launch data
R3E Launch Tool A tool for RaceRoom Racing Experience which shows you launch data. Usage Run the tool, change the Stop Speed to whatever you want, and
BroBot's files, code and tester.
README - BroBOT Made by Rohan Chaturvedi [email protected] DISCLAIMER: This rep only contains part of code that can be made public. Parts like auth
This is a web scraper, using Python framework Scrapy, built to extract data from the Deals of the Day section on Mercado Livre website.
Deals of the Day This is a web scraper, using the Python framework Scrapy, built to extract data such as price and product name from the Deals of the
Helps compare between New and Old Tax Regime.
Income-Tax-Calculator Helps compare between New and Old Tax Regime. Sample Console Input/Output saanika@gupta:~/Desktop$ python3 income_tax_calculator
A fun, casual and strategic game made using Python!
Steve's Pixels A fun, casual and strategic game made using Python! Prerequisites See requirements.txt Demo video demo.mp4 Usage python -m steves_pixel
A Simple Key-Value Data-store written in Python
mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat
Trained T5 and T5-large model for creating keywords from text
text to keywords Trained T5-base and T5-large model for creating keywords from text. Supported languages: ru Pretraining Large version | Pretraining B
To attract customers, the hotel chain has added to its website the ability to book a room without prepayment
To attract customers, the hotel chain has added to its website the ability to book a room without prepayment. We need to predict whether the customer is going to reject the booking or not. Since in case of refusal, the hotel incurs losses.
This is the card game like HearthStone and Magic
Territory War How to use it use pip3 to install django and channels: pip3 install Django pip3 install channels go to CardGame/first/consumers.py and g
☄️ High performance, easy to use and feature-rich Solana SDK for Python.
Solathon is an high performance, easy to use and feature-rich Solana SDK for Python. Easy for beginners, powerful for real world applications.
A Neural Network based chess engine and GUI made with Python and Tensorflow/Keras.
Haxaw-Chess Haxaw: Haxaw is the Neural Network based chess engine made with Python and Tensorflow/Keras. Also uses the python-chess library. (WIP: Imp
This is a boilerplate for a basic backend app using Python, Django and SQLite, as developed after tutorials with Programming with Mosh
This is a boilerplate for a basic backend app using Python, Django and SQLite, as developed after tutorials with Programming with Mosh
A simple program to make MSI Modern 15 speaker and microphone mute led work.
MSI Modern 15 sound led fixup for linux A simple program to fix the MSI Modern 15 speaker and microphone mute LEDs. Installation Requirements pulsectl
The OUCH Project - OUCH Server/Client
This software simulates OUCH Server/Client communication through a script which initialises a central server and another script which simulates clients connecting to the server.
Make YouTube videos tasks in Todoist faster and time efficient!
Youtubist Basically fork of yt-dlp python module to my needs. You can paste playlist or channel link on the YouTube. It will automatically format to s
A python shell / chat bot for XMPP and cloud services
XMPP_Shell_Bot A python shell / chat bot for XMPP and cloud services, designed for penetration testers to bypass network filters. To better understand
This application aims to read all wifi passwords and visualizes the complexity in graph formation by taking into account several criteria and help you generate new random passwords.
This application aims to read all wifi passwords and visualizes the complexity in graph formation by taking into account several criteria and help you generate new random passwords.
Automatically download and crop key information from the arxiv daily paper. (cpu version)
Automatically download and crop key information from the arxiv daily paper. (cpu version)
simple_pytorch_example project is a toy example of a python script that instantiates and trains a PyTorch neural network on the FashionMNIST dataset
simple_pytorch_example project is a toy example of a python script that instantiates and trains a PyTorch neural network on the FashionMNIST dataset
RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
RaftMLP RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality? By Yuki Tatsunami and Masato Taki (Rikkyo University) [arxiv]
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs ArXiv Abstract Convolutional Neural Networks (CNNs) have become the de f
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
Practical Time-Series Analysis, published by Packt
Practical Time-Series Analysis This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting proj
U-Time: A Fully Convolutional Network for Time Series Segmentation
U-Time & U-Sleep Official implementation of The U-Time [1] model for general-purpose time-series segmentation. The U-Sleep [2] model for resilient hig
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
taganomaly Anomaly detection labeling tool, specifically for multiple time series (one time series per category). Taganomaly is a tool for creating la
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
Wearables Development Toolkit (WDK) The Wearables Development Toolkit (WDK) is a framework and set of tools to facilitate the iterative development of
TICC is a python solver for efficiently segmenting and clustering a multivariate time series
TICC TICC is a python solver for efficiently segmenting and clustering a multivariate time series. It takes as input a T-by-n data matrix, a regulariz
DeltaPy - Tabular Data Augmentation (by @firmai)
DeltaPy — Tabular Data Augmentation & Feature Engineering Finance Quant Machine Learning ML-Quant.com - Automated Research Repository Introduction T
A Python package for time series augmentation
tsaug tsaug is a Python package for time series augmentation. It offers a set of augmentation methods for time series, as well as a simple API to conn
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection
Deep learning for time series forecasting Flow forecast is an open-source deep learning for time series forecasting framework. It provides all the lat
Supervised forecasting of sequential data in Python.
Supervised forecasting of sequential data in Python. Intro Supervised forecasting is the machine learning task of making predictions for sequential da
Demonstration of transfer of knowledge and generalization with distillation
Distilling-the-Knowledge-in-a-Neural-Network This is an implementation of a part of the paper "Distilling the Knowledge in a Neural Network" (https://
Algorithms for outlier, adversarial and drift detection
Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline d
An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour
Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to
Survival analysis in Python
What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu
:spaghetti: Pastas is an open-source Python framework for the analysis of hydrological time series.
Pastas: Analysis of Groundwater Time Series Pastas: what is it? Pastas is an open source python package for processing, simulating and analyzing groun
(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License PyOD is a comprehensive and scalable Python toolkit for detecting outlyin
Forecast dynamically at scale with this unique package. pip install scalecast
🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels
Hierarchical Time Series Forecasting with a familiar API
scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work
A python library for time-series smoothing and outlier detection in a vectorized way.
tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. Overview tsmoothie computes, in a fast and efficient w
Python calculations for the position of the sun and moon.
Astral This is 'astral' a Python module which calculates Times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevat
An open source python library for automated feature engineering
"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to
An intuitive library to extract features from time series
Time Series Feature Extraction Library Intuitive time series feature extraction This repository hosts the TSFEL - Time Series Feature Extraction Libra
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
bta-lib - A pandas based Technical Analysis Library bta-lib is pandas based technical analysis library and part of the backtrader family. Links Main P
Highly comparative time-series analysis
〰️ hctsa 〰️ : highly comparative time-series analysis hctsa is a software package for running highly comparative time-series analysis using Matlab (fu
Python binding for Khiva library.
Khiva-Python Build Documentation Build Linux and Mac OS Build Windows Code Coverage README This is the Khiva Python binding, it allows the usage of Kh
Timeseries analysis for neuroscience data
=================================================== Nitime: timeseries analysis for neuroscience data ===============================================
A Python library for unevenly-spaced time series analysis
traces A Python library for unevenly-spaced time series analysis. Why? Taking measurements at irregular intervals is common, but most tools are primar
This is a Python wrapper for TA-LIB based on Cython instead of SWIG.
TA-Lib This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers re
WTTE-RNN a framework for churn and time to event prediction
WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
ecmwf_models Readers and converters for data from the ECMWF reanalysis models. Written in Python. Works great in combination with pytesmo. Citation If
A Quick and Dirty Progressive Neural Network written in TensorFlow.
prog_nn .▄▄ · ▄· ▄▌ ▐ ▄ ▄▄▄· ▐ ▄ ▐█ ▀. ▐█▪██▌•█▌▐█▐█ ▄█▪ •█▌▐█ ▄▀▀▀█▄▐█▌▐█▪▐█▐▐▌ ██▀
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
VCPlayerBot - Telegram bot to stream videos in telegram voicechat for both groups and channels. Supports live steams, YouTube videos and telegram media
VCPlayerBot Telegram bot to stream videos in telegram voicechat for both groups
TreeSubstitutionCipher - Encryption system based on trees and substitution
Tree Substitution Cipher Generation Algorithm: Generate random tree. Tree nodes
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav
A way of looking at COVID-19 data that I haven't seen before.
Visualizing Omicron: COVID-19 Deaths vs. Cases Click here for other countries. Data is from Our World in Data/Johns Hopkins University. About this pro
Software Engineer Salary Prediction
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
Analyzed the data of VISA applicants to build a predictive model to facilitate the process of VISA approvals.
Analyzed the data of Visa applicants, built a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommended a suitable profile for the applicants for whom the visa should be certified or denied.
Medical appointments No-Show classifier
Medical Appointments No-shows Why do 20% of patients miss their scheduled appointments? A person makes a doctor appointment, receives all the instruct
Example applications, dashboards, scripts, notebooks, and other utilities built using Polygon.io
Polygon.io Examples Example applications, dashboards, scripts, notebooks, and other utilities built using Polygon.io. Examples Preview Name Type Langu
Regularization and Feature Selection in Least Squares Temporal Difference Learning
Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio
Template repo for a GCP-hosted REST API with automatic API versioning and custom domain mapping
Python + Poetry REST API with FastAPI, hosted on GCP This template will get you ready to deploy a FastAPI app in Google Cloud with automatic API versi
If you have stars in your Pipfile and you don't want them, this project is for you!
unstar-pipfile If you have stars in your Pipfile, this project is for you! unstar-pipfile is a tool to scan Pipfile.lock and replace any stars in Pipf
Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina.
Estatistica para Ciência de Dados e Machine Learning Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máqui
A small, Pygame-based library project intended for personal use.
EzyGame Version 0.0.1 A simple library project intended for personal use with Pygame. Warning: I am a very amateur programmer, so the code will probab
DevSecOps pipeline for Python based web app using Jenkins, Ansible, AWS, and open-source security tools and checks.
DevSecOps pipeline for Python Web App A Jenkins end-to-end DevSecOps pipeline for Python web application, hosted on AWS Ubuntu 20.04 Note: This projec
A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).
ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de