2794 Repositories
Python data-transfer Libraries
sktime companion package for deep learning based on TensorFlow
NOTE: sktime-dl is currently being updated to work correctly with sktime 0.6, and wwill be fully relaunched over the summer. The plan is Refactor and
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
A hands-off Anomaly Detection Library Table of contents What is Luminaire Quick Start Time Series Outlier Detection Workflow Anomaly Detection for Hig
Time Series Cross-Validation -- an extension for scikit-learn
TSCV: Time Series Cross-Validation This repository is a scikit-learn extension for time series cross-validation. It introduces gaps between the traini
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
findatapy findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using
Deep Survival Machines - Fully Parametric Survival Regression
Package: dsm Python package dsm provides an API to train the Deep Survival Machines and associated models for problems in survival analysis. The under
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Telemanom (v2.0) v2.0 updates: Vectorized operations via numpy Object-oriented restructure, improved organization Merge branches into single branch fo
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
Responsible Machine Learning with Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice, based on the chosen metric.
moDel Agnostic Language for Exploration and eXplanation
moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
NNI Doc | 简体中文 NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture
🌊 River is a Python library for online machine learning.
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
sklearn-porter Transpile trained scikit-learn estimators to C, Java, JavaScript and others. It's recommended for limited embedded systems and critical
ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
ModelChimp What is ModelChimp? ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments. ModelChimp provides the followi
An orchestration platform for the development, production, and observation of data assets.
Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f
Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects
Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow
Handle, manipulate, and convert data with units in Python
unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
List of Data Science Cheatsheets to rule the world
Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat
A Kitti Road Segmentation model implemented in tensorflow.
KittiSeg KittiSeg performs segmentation of roads by utilizing an FCN based model. The model achieved first place on the Kitti Road Detection Benchmark
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
Federated Learning with Non-IID Data This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vik
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells.
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.
A package to fetch sentinel 2 Satellite data from Google.
Sentinel 2 Data Fetcher Installation Create a Virtual Environment and activate it. python3 -m venv venv . venv/bin/activate Install the Package via pi
Very simple encoding scheme that will encode data as a series of OwOs or UwUs.
OwO Encoder Very simple encoding scheme that will encode data as a series of OwOs or UwUs. The encoder is a simple state machine. Still needs a decode
Python based framework for Automatic AI for Regression and Classification over numerical data.
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little
A meta plugin for processing timelapse data timepoint by timepoint in napari
napari-time-slicer A meta plugin for processing timelapse data timepoint by timepoint. It enables a list of napari plugins to process 2D+t or 3D+t dat
Data and code for the paper "Importance of Kernel Bandwidth in Quantum Machine Learning"
Reproducibility materials for "Importance of Kernel Bandwidth in Quantum Machine Learning" Repo structure: code contains Python scripts used to genera
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Understanding the Generalization Benefit of Model Invariance from a Data Perspective This is the code for our NeurIPS2021 paper "Understanding the Gen
RMTD: Robust Moving Target Defence Against False Data Injection Attacks in Power Grids
RMTD: Robust Moving Target Defence Against False Data Injection Attacks in Power Grids Real-time detection performance. This repo contains the code an
Important dataframe statistics with a single command
quick_eda Receiving dataframe statistics with one command Project description A python package for Data Scientists, Students, ML Engineers and anyone
AWS Lambda - Parsing Cloudwatch Data and sending the response via email.
AWS Lambda - Parsing Cloudwatch Data and sending the response via email. Author: Evan Erickson Language: Python Backend: AWS / Serverless / AWS Lambda
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment Brief explanation of PT Bukalapak.com Tbk Bukalapak was found
App to get data from popular polish pages with job offers
Job board parser I written simple app to get me data from popular pages with job offers, because I wanted to knew immidietly if there is some new offe
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.
Single machine, multiple cards training; mix-precision training; DALI data loader.
Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra
A Python Covid-19 cases tracker that scrapes data off the web and presents the number of Cases, Recovered Cases, and Deaths that occurred because of the pandemic.
A Python Covid-19 cases tracker that scrapes data off the web and presents the number of Cases, Recovered Cases, and Deaths that occurred because of the pandemic.
Early version for manipulate Geo localization data trough API REST.
Backend para obtener los datos (beta) Descripción El servidor está diseñado para recibir y almacenar datos enviados en forma de JSON por una aplicació
Extract the table in the PDF,outputs the data similar to the json format
extract the table in the PDF,outputs the data similar to the json format
Reads Data from given Excel File and exports Single PDFs and a complete PDF grouped by Gateway
E-Shelter Excel2QR Reads Data from given Excel File and exports Single PDFs and a complete PDF grouped by Gateway Features Reads Excel 2021 Export Sin
Palm CLI - the tool-belt for data teams
Palm CLI: The extensible CLI at your fingertips Palm is a universal CLI developed to improve the life and work of data professionals. Palm CLI documen
A Python library for setting up projects using tabular data.
A Python library for setting up projects using tabular data. It can create project folders, standardize delimiters, and convert files to CSV from either individual files or a directory.
Angle data is a simple data type.
angledat Angle data is a simple data type. Installing + using Put angledat.py in the main dir of your project. Import it and use. Comments Comments st
Some pvbatch (paraview) scripts for postprocessing OpenFOAM data
pvbatchForFoam Some pvbatch (paraview) scripts for postprocessing OpenFOAM data For every script there is a help message available: pvbatch pv_state_s
Hide secret data within a digital image using good ol' terminal
pystego Hide secret data within a digital image using good ol' terminal Installation The recommended way for installing this package is using, python
strava-offline is a tool to keep a local mirror of Strava activities for further analysis/processing:
strava-offline Overview strava-offline is a tool to keep a local mirror of Strava activities for further analysis/processing: synchronizes metadata ab
Bodywork deploys machine learning projects developed in Python, to Kubernetes.
Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r
A Simple modular tool to fetch and parse data related to the stock market.
🐒 stonks-o-fetcher A Simple modular tool to fetch and parse data related to the stock market. Getting started For the moment the only source is this
A tool for automatically generating 3D printable STLs from freely available lidar scan data.
mini-map-maker A tool for automatically generating 3D printable STLs from freely available lidar scan data. Screenshots Tutorial To use this script, g
A Python Tool to encrypt all types of files using AES and XOR Algorithm.
DataShield This project intends to protect user’s data, it stores files in encrypted format in device provided the passcode and path of the file. AES
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style [NeurIPS 2021] Official code to reproduce the results and data p
JSON and CSV data for Swahili dictionary with over 16600+ words
kamusi JSON and CSV data for swahili dictionary with over 16600+ words. This repo consists of data from swahili dictionary with about 16683 words toge
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it
Log processor for nginx or apache that extracts user and user sessions and calculates other types of useful data for bot detection or traffic analysis
Log processor for nginx or apache that extracts user and user sessions and calculates other types of useful data for bot detection or traffic analysis
ObjTables: Tools for creating and reusing high-quality spreadsheets
ObjTables: Tools for creating and reusing high-quality spreadsheets ObjTables is a toolkit which makes it easy to use spreadsheets (e.g., XLSX workboo
Powerful, efficient particle trajectory analysis in scientific Python.
freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics
CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner.
CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner. It is aimed to integrate this tool with several more features including providing a User Interface.
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Astroquery is an astropy affiliated package that contains a collection of tools to access online Astronomical data.
Pytools is an open source library containing general machine learning and visualisation utilities for reuse
pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen
A project that forwards data it receives in a URL POST Request to a Discord Webhook link
Mailman Mailman is a project that basically just forwards data it receives in a URL POST Request to a Discord Webhook link and act as a sort of messag
This is a Telegram Bot written in Python for searching data on Google Drive.
This is a Telegram Bot written in Python for searching data on Google Drive. Supports multiple Shared Drives (TDs). Manual Guide for deploying the bot
MIRACLE (Missing data Imputation Refinement And Causal LEarning)
MIRACLE (Missing data Imputation Refinement And Causal LEarning) Code Author: Trent Kyono This repository contains the code used for the "MIRACLE: Cau
Investigating automatic navigation towards standard US views integrating MARL with the virtual US environment developed in CT2US simulation
AutomaticUSnavigation Investigating automatic navigation towards standard US views integrating MARL with the virtual US environment developed in CT2US
Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures
Brain-Image-Segmentation Segmentation of brain tissues in MRI image has a number of applications in diagnosis, surgical planning, and treatment of bra
Source code, data, and evaluation details for “Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Formation, and Ramifications”
Analysis of cross-lingual citations in English papers Contents initial_analysis Source code, data, and evaluation details as published at ICADL2020 ci
ACV is a python library that provides explanations for any machine learning model or data.
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.
EquivariantSelfAttention An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astro
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.
Overview This repository provides the implementation for the paper "Improved Regularization and Robustness for Fine-tuning in Neural Networks", which
The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"
MultiModal-Collaborative (MMC) Learning Framework for integrating RGB and Thermal spectral modalities This is the official code for NeurIPS 2021 Machi
MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data.
MHtyper is an end-to-end pipeline for recognized the Forensic microhaplotypes in Nanopore sequencing data. It is implemented using Python.
Open-Source Tools & Data for Music Source Separation: A Pragmatic Guide for the MIR Practitioner
Open-Source Tools & Data for Music Source Separation: A Pragmatic Guide for the MIR Practitioner
Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer
AdaConv Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer from "Adaptive Convolutions for Structure-
A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021)
GDN A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021) Abstract In this paper, we consider an inverse problem i
Classification of EEG data using Deep Learning
Graduation-Project Classification of EEG data using Deep Learning Epilepsy is the most common neurological disease in the world. Epilepsy occurs as a
advance python series: Data Classes, OOPs, python
Working With Pydantic - Built-in Data Process ========================== Normal way to process data (reading json file): the normal princiople, it's f
A simple Python tool to transfer data from MySQL to SQLite 3.
MySQL to SQLite3 A simple Python tool to transfer data from MySQL to SQLite 3. This is the long overdue complimentary tool to my SQLite3 to MySQL. It
A forecasting system dedicated to smart city data
smart-city-predictions System prognostyczny dedykowany dla danych inteligentnych miast Praca inżynierska realizowana przez Michała Stawikowskiego and
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
English | 简体中文 PaddleGAN PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and s
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
Social-NCE + CrowdNav Website | Paper | Video | Social NCE + Trajectron | Social NCE + STGCNN This is an official implementation for Social NCE: Contr
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
Sample code to extract data directly from the NetApp AIQUM MySQL Database
This sample code shows how to connect to the AIQUM Database and pull user quota details from it. AIQUM Requirements: 1. AIQUM 9.7 or higher. 2. An
Complete the code of prefix-tuning in low data setting
Prefix Tuning Note: 作者在论文中提到使用真实的word去初始化prefix的操作(Initializing the prefix with activations of real words,significantly improves generation)。我在使用作者提供的
Getting started with Python, Dash and Plot.ly for the Data Dashboards team
data_dashboards Getting started with Python, Dash and Plot.ly for the Data Dashboards team Getting started MacOS users: # Install the pyenv version ma
Sample data for the napari image viewer.
napari-demo-data Sample data for the napari image viewer. This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugi
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Dynamic Data Augmentation with Gating Networks This is an official PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Repository of the paper Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models at ML4AD @ NeurIPS 2021.
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Code and supplementary materials Repository of the p
Code & Data for Enhancing Photorealism Enhancement
Enhancing Photorealism Enhancement Stephan R. Richter, Hassan Abu AlHaija, Vladlen Koltun Paper | Website (with side-by-side comparisons) | Video (Pap
Here I plotted data for the average test scores across schools and class sizes across school districts.
HW_02 Here I plotted data for the average test scores across schools and class sizes across school districts. Average Test Score by Race This graph re
A simple project on Data Visualization for CSCI-40 course.
Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20
Data and a Twitter bot for the EPA's DOCUMERICA (1972-1977) program.
documerica This repository holds JSON(L) artifacts and a few scripts related to managing archival data from the EPA's DOCUMERICA program. Contents: Ma
Scraping weather data using Python to receive umbrella reminders
A Python package which scrapes weather data from google and sends umbrella reminders to specified email at specified time daily.
Python App To Encrypt Data (image, text, all data)
Python App To Encrypt Data (image, text, all data)
Heat transfer problemas solved using python
heat-transfer Heat transfer problems solved using python isolation-convection.py compares the temperature distribution on the problem as shown in the
This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.
From "Onion Not Found" to Guard Discovery (PETS'22) This repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Gu