2838 Repositories
Python data-free Libraries
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions
Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
deeptime Releases: Installation via conda recommended. conda install -c conda-forge deeptime pip install deeptime Documentation: deeptime-ml.github.io
How to Leverage Multimodal EHR Data for Better Medical Predictions?
How to Leverage Multimodal EHR Data for Better Medical Predictions? This repository contains the code of the paper: How to Leverage Multimodal EHR Dat
A command line tool for visualizing CSV/spreadsheet-like data
PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by
Data Competition: automated systems that can detect whether people are not wearing masks or are wearing masks incorrectly
Table of contents Introduction Dataset Model & Metrics How to Run Quickstart Install Training Evaluation Detection DATA COMPETITION The COVID-19 pande
Scraping web pages to get data
Scraping Data Get public data and save in database This is project use Python How to run a project 1 - Clone the repository 2 - Install beautifulsoup4
An Automated udemy coupons scraper which scrapes coupons and autopost the result in blogspot post
Autoscraper-n-blogger An Automated udemy coupons scraper which scrapes coupons and autopost the result in blogspot post and notifies via Telegram bot
Bionic is Python Framework for crafting beautiful, fast user experiences for web and is free and open source.
Bionic is Python Framework for crafting beautiful, fast user experiences for web and is free and open source. Getting Started This is an example of ho
[IROS2021] NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences
NYU-VPR This repository provides the experiment code for the paper Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymiza
Python package with library and CLI tool for analyzing SeaFlow data
Seaflowpy A Python package for SeaFlow flow cytometer data. Table of Contents Install Read EVT/OPP/VCT Files Command-line Interface Configuration Inte
Python and data science snippets on the command line
Python Snippet Tool A tool to get Python and data science snippets at Data Science Simplified on the command line. You can read my article to learn ho
Splitgraph command line client and python library
Splitgraph Overview Splitgraph is a tool for building, versioning and querying reproducible datasets. It's inspired by Docker and Git, so it feels fam
TAug :: Time Series Data Augmentation using Deep Generative Models
TAug :: Time Series Data Augmentation using Deep Generative Models Note!!! The package is under development so be careful for using in production! Fea
Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.
Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au
A general, feasible, and extensible framework for classification tasks.
Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T
This provides the R code and data to replicate results in "The USS Trustee’s risky strategy"
USSBriefs2021 This provides the R code and data to replicate results in "The USS Trustee’s risky strategy" by Neil M Davies, Jackie Grant and Chin Yan
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
MosaicKD Code for NeurIPS-21 paper "Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data" 1. Motivation Natural images share common l
Codes and Data Processing Files for our paper.
Code Scripts and Processing Files for EEG Sleep Staging Paper 1. Folder Tree ./src_preprocess (data preprocessing files for SHHS and Sleep EDF) sleepE
This is the official implementation for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents" in NeurIPS 2021.
Observe then Incentivize Experiments This is the code used for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents",
Official implementation of DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations in TensorFlow 2
DreamerPro Official implementation of DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations in TensorFl
Simple data balancing baselines for worst-group-accuracy benchmarks.
BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating
Official project repository for 'Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination'
NCAE_UAD Official project repository of 'Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination' Abstract In this p
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
ColossalAI An integrated large-scale model training system with efficient parallelization techniques. arXiv: Colossal-AI: A Unified Deep Learning Syst
Data visualization electromagnetic spectrum
Datenvisualisierung-Elektromagnetischen-Spektrum Anhand des Moduls matplotlib sollen die Daten des elektromagnetischen Spektrums dargestellt werden. D
A framework for feature exploration in Data Science
Beehive A framework for feature exploration in Data Science Background What do we do when we finish one episode of feature exploration in a jupyter no
Experimental proxy for dumping the unencrypted packet data from Brawl Stars (WIP)
Brawl Stars Proxy Experimental proxy for version 39.99 of Brawl Stars. It allows you to capture the packets being sent between the Brawl Stars client
DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
DWIPrep: A Robust Preprocessing Pipeline for dMRI Data DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transp
A tutorial for people to run synthetic data replica's from source healthcare datasets
Synthetic-Data-Replica-for-Healthcare Description What is this? A tailored hands-on tutorial showing how to use Python to create synthetic data replic
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
MosaicKD Code for NeurIPS-21 paper "Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data" 1. Motivation Natural images share common l
Rover is a command line interface application that allows through browse through mission data, images, metadata from the NASA Official Website
🤖 rover Rover is a command line interface application that allows through browse through mission data, images, metadata from the NASA Official Websit
Data, model training, and evaluation code for "PubTables-1M: Towards a universal dataset and metrics for training and evaluating table extraction models".
PubTables-1M This repository contains training and evaluation code for the paper "PubTables-1M: Towards a universal dataset and metrics for training a
Free and Open Source Channel/Group Voice chat music player for telegram ❤️ with button support Heroku Commands
ZeusMusic Requirements 📝 FFmpeg NodeJS nodesource.com Python 3.7 or higher PyTgCalls MongoDB 2nd Telegram Account (needed for userbot) 🧪 Get SESSION
Spatial Interpolation Toolbox is a Python-based GUI that is able to interpolate spatial data in vector format.
Spatial Interpolation Toolbox This is the home to Spatial Interpolation Toolbox, a graphical user interface (GUI) for interpolating geographic vector
Improving your data science workflows with
Make Better Defaults Author: Kjell Wooding [email protected] This is the git repo for Makefiles: One great trick for making your conda environments mo
A framework for attentive explainable deep learning on tabular data
🧠 kendrite A framework for attentive explainable deep learning on tabular data 💨 Quick start kedro run 🧱 Built upon Technology Description Links ke
Towhee is a flexible machine learning framework currently focused on computing deep learning embeddings over unstructured data.
Towhee is a flexible machine learning framework currently focused on computing deep learning embeddings over unstructured data.
Pytorch implementation of Cut-Thumbnail in the paper Cut-Thumbnail:A Novel Data Augmentation for Convolutional Neural Network.
Cut-Thumbnail (Accepted at ACM MULTIMEDIA 2021) Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu This is the officia
An example of repository data as bundles
Bundles This repository is just an example of how we can host Git bundles in a way that supports fetching data from precomputed bundles without the or
Free and Open Source Channel/Group Voice chat music player for telegram with button support saavn playback support.
A bot that can play music on Telegram Group and Channel Voice Chats
Absolute solvation free energy calculations with OpenFF and OpenMM
ABsolute SOLVantion Free Energy Calculations The absolv framework aims to offer a simple API for computing the change in free energy when transferring
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
ColossalAI An integrated large-scale model training system with efficient parallelization techniques Installation PyPI pip install colossalai Install
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
python-is-cool A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and bec
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au
Simple data balancing baselines for worst-group-accuracy benchmarks.
BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data
kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to
Professor Wordlist is a free open source command line tool written in python
Professor Wordlist is a free open source command line tool written in python, With the aim of generating custom wordlists with a variety of unique parameters and functions providing many possibilities.
Tool for working with Y-chromosome data from YFull and FTDNA
ycomp ycomp is a tool for working with Y-chromosome data from YFull and FTDNA. Run ycomp -h for information on how to use the program. Installation Th
K-means clustering is a method used for clustering analysis, especially in data mining and statistics.
K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr
Homework 2: Matplotlib and Data Visualization
Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python
PyTorch framework A simple and complete framework for PyTorch, providing a variety of data loading and simple task solutions that are easy to extend and migrate
PyTorch framework A simple and complete framework for PyTorch, providing a variety of data loading and simple task solutions that are easy to extend and migrate
Anomaly Detection Based on Hierarchical Clustering of Mobile Robot Data
We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.
Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can!
EarthGAN - Earth Mantle Surrogate Modeling Can a surrogate model of the Earth’s Mantle Convection data set be built such that it can be readily run in
This repo is all about different data structures and algorithms..
Data Structure and Algorithm : Want to learn data strutrues and algorithms ??? Then Stop thinking more and start to learn today. This repo will help y
Discord Token Generator - Python (Generates Tokens and Joins your Server Automatically) hCaptcha Bypass **FREE**
Best Discord Token Generator {hCaptcha bypass FREE Unlimited Memberboost} Install few requirements & run main.py it will redirect you to the Download
an opensourced roblox group finder writen in python 100% free and virus-free
Roblox-Group-Finder an opensourced roblox group finder writen in python 100% free and virus-free note : if you don't want install python or just use w
Data visualization using matplotlib
Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples This repository is the official implementation of paper [Qimera: Data-free Q
Leyna's Visualizing Data With Python
Leyna's Visualizing Data Below is information on the number of bilingual students in three school districts in Massachusetts. You will also find infor
HW_02 Data visualisation task
HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa
Light-weight network, depth estimation, knowledge distillation, real-time depth estimation, auxiliary data.
light-weight-depth-estimation Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou F
Rick and Morty Data Visualization with python
Rick and Morty Data Visualization For this project I looked at data for the TV show Rick and Morty Number of Episodes at a Certain Location Here is th
Keir&'s Visualizing Data on Life Expectancy
Keir's Visualizing Data on Life Expectancy Below is information on life expectancy in the United States from 1900-2017. You will also find information
This is a small repository for me to implement my simply Data Visualisation skills through Python.
Data Visualisations This is a small repository for me to implement my simply Data Visualisation skills through Python. Steam Population Chart from 10/
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti
These data visualizations were created as homework for my CS40 class. I hope you enjoy!
Data Visualizations These data visualizations were created as homework for my CS40 class. I hope you enjoy! Nobel Laureates by their Country of Birth
Python IDE or notebook to generate a basic Kepler.gl data visualization
geospatial-data-analysis [readme] Use this code in your Python IDE or notebook to generate a basic Kepler.gl data visualization, without pre-configura
These data visualizations were created for my introductory computer science course using Python
Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python
A script that trains a model to recognize handwritten digits using the MNIST data set.
handwritten-digits-recognition A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and
The official implementation of CircleNet: Anchor-free Detection with Circle Representation, MICCAI 2030
CircleNet: Anchor-free Detection with Circle Representation The official implementation of CircleNet, MICCAI 2020 [PyTorch] [project page] [MICCAI pap
This repository contains code and data for "On the Multimodal Person Verification Using Audio-Visual-Thermal Data"
trimodal_person_verification This repository contains the code, and preprocessed dataset featured in "A Study of Multimodal Person Verification Using
code for generating data set ES-ImageNet with corresponding training code
es-imagenet-master code for generating data set ES-ImageNet with corresponding training code dataset generator some codes of ODG algorithm The variabl
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
NAS-FCOS: Fast Neural Architecture Search for Object Detection This project hosts the train and inference code with pretrained model for implementing
Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".
CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
DECAF (DEbiasing CAusal Fairness) Code Author: Trent Kyono This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using
Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".
CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".
Code accompanying the paper "How Tight Can PAC-Bayes be in the Small Data Regime?"
How Tight Can PAC-Bayes be in the Small Data Regime? This is the code to reproduce all experiments for the following paper: @inproceedings{Foong:2021:
How to exploit a double free vulnerability in 2021. 'Use-After-Free for Dummies'
This bug doesn’t exist on x86: Exploiting an ARM-only race condition How to exploit a double free and get a shell. "Use-After-Free for dummies" In thi
One-Stop Destination for codes of all Data Structures & Algorithms
CodingSimplified_GK This repository is aimed at creating a One stop Destination of codes of all Data structures and Algorithms along with basic explai
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.
Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation (NeurIPS 2021) Code for our NeurIPS 2021 paper 'Exploiting the Intri
PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
Anti-Backdoor Learning PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data. Check the unlearning effect
wger Workout Manager is a free, open source web application that helps you manage your personal workouts, weight and diet plans and can also be used as a simple gym management utility.
wger (ˈvɛɡɐ) Workout Manager is a free, open source web application that helps you manage your personal workouts, weight and diet plans and can also be used as a simple gym management utility.
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Table of Contents What is GeoNode? Try out GeoNode Install Learn GeoNode Development Contributing Roadmap Showcase Most useful links Licensing What is
Awesome Spectral Indices in Python.
Awesome Spectral Indices in Python: Numpy | Pandas | GeoPandas | Xarray | Earth Engine | Planetary Computer | Dask GitHub: https://github.com/davemlz/
REST API with Flask. No data persistence.
Flask REST API Python 3.9.7 The Flask experience, without data persistence :D First, to install all dependencies: python -m pip install -r requirement
This is a web application to visualize various famous technical indicators and stocks tickers from user
Visualizing Technical Indicators Using Python and Plotly. Currently facing issues hosting the application on heroku. As soon as I am able to I'll like
Fetch data from an excel file and create HTML file
excel-to-html Problem Statement! - Fetch data from excel file and create html file Excel.xlsx file contain the information.in multiple rows that is ne
This python module allows to extract data from the RAW-file-format produces by devices from Thermo Fisher Scientific.
fisher_py This Python module allows access to Thermo Orbitrap raw mass spectrometer files. Using this library makes it possible to automate the analys
Weather analysis with Python, SQLite, SQLAlchemy, and Flask
Surf's Up Weather analysis with Python, SQLite, SQLAlchemy, and Flask Overview The purpose of this analysis was to examine weather trends (precipitati
Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.
Machine Learning Sleep Schedule Tracker What is it? Convolutional neural network web app trained to track our infant’s sleep schedule using our Google
📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.
Web Trader Web Trader is a trading website that consolidates data from Nasdaq, allowing the user to search up the ticker symbol and price of any stock
Data Science Environment Setup in single line
datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Water quality integration for Home Assistant with data provided by Budapest FVM
Water Quality FVM (Budapest, HU) custom integration for Home Assistant This custom component integrates water quality information provided by Budapest
SOFT: Softmax-free Transformer with Linear Complexity, NeurIPS 2021 Spotlight
SOFT: Softmax-free Transformer with Linear Complexity SOFT: Softmax-free Transformer with Linear Complexity, Jiachen Lu, Jinghan Yao, Junge Zhang, Xia
A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.
What does it do? Given a location and a date, it uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed
LibreMind is a free meditation app made in under 24 hours. It has various meditation, breathwork, and visualization exercises.
libreMind Meditation exercises What is it? LibreMind is a free meditation app made in under 24 hours. It has various meditation, breathwork, and visua
database for artificial intelligence/machine learning data
AIDB v0.0.1 database for artificial intelligence/machine learning data Overview aidb is a database designed for large dataset for machine learning pro
A multi-page streamlit app for the geospatial community.
A multi-page streamlit app for the geospatial community.
A system for managing CI data for Mozilla projects
Treeherder Description Treeherder is a reporting dashboard for Mozilla checkins. It allows users to see the results of automatic builds and their resp