Python Science-research Resources

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You

Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c

TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp

Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t

A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple

COMS20011_2021 Data-driven Computer Science UoB Staff Laurence Aitchison [[email protected]] (unit director) Majid Mirmehdi [m.mirmehdi

Fast Forward Computer Vision: train models at a fraction of the cost with accele

qsec Quant & Systematic Crypto Research Tools --WORK IN PROGRESS-- This repo is a collection of research tools to help in exploring and building sys

About ResearchTE automates researching by generating document with answers to given questions. Supports getting results from: Google DuckDuckGo (with

Span-ASTE-Pytorch This repository is a pytorch version that implements Ali's ACL 2021 research paper Learning Span-Level Interactions for Aspect Senti

100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

A computational optimization project towards the goal of gerrymandering the results of a hypothetical election in the UK.

Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy

PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd

This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.

MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi

LetsGrowMore-Internship Completed task 1 and task 2 at LetsGrowMore as a data science intern. Task 1- Task 2- Creating a Decision Tree classifier and

Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad

JAX Models Table of Contents About The Project Getting Started Prerequisites Installation Usage Contributing License Contact About The Project The JAX

Road feature embedding selection method Code for research paper experimentation Abstract Traffic forecasting models rely on data that needs to be sens

AWESOME DATA SCIENCE An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start s

applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea

The dual numbers can do efficient autodiff! The codual numbers are a simple meth

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc

Patient Selection for Diabetes Drug Testing Project Overview EHR data is becoming a key source of real-world evidence (RWE) for the pharmaceutical ind

WEB-EYES V1.0 web-eyes: OSINT tools for website research, 14 research methods ar

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

Food recognition model using convolutional neural network & computer vision. The goal is to match or beat the DeepFood Research Paper

CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e

utils3D A small library of 3D related utilities used in my research. Installation Install via GitHub pip install git+https://github.com/Steve-Tod/util

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

A Python Bytecode Disassembler helping reverse engineers in dissecting Python binaries by disassembling and analyzing the compiled python byte-code(.pyc) files across all python versions (including Python 3.10.*)

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.

Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

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.

Dumda Python Library to get fast extensive Dummy Data for testing https://pypi.org/project/dumda/ Installation pip install dumda Usage: Cities from d

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

buzzard In a nutshell, the buzzard library provides powerful abstractions to manipulate together images and geometries that come from different kind o

2110446 Data Science Course at Chula 2022 Short links for exercises: Week1: Intro to Numpy, Pandas Numpy: https://colab.research.google.com/github/kao

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”

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

Data-Science-Intern-Challenge This repository contains answers of the Shopify Summer 2022 Data Science Intern Challenge. Summer 2022 Data Science Inte

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew

The CS Netlogo Helper is a small python script I made, to make computer science homework easier. This project is really ironic now that I think about it.

The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of

trape (stable) v2.0 People tracker on the Internet: Learn to track the world, to avoid being traced. Trape is an OSINT analysis and research tool, whi

machine_learning_examples A collection of machine learning examples and tutorials.

Great Expectations Always know what to expect from your data. Introduction Great Expectations helps data teams eliminate pipeline debt, through data t

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

FMA: A Dataset For Music Analysis Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson. International Society for Music Information

Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the

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.

Deep Learning for Time Series Classification This is the companion repository for our paper titled "Deep learning for time series classification: a re

AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data

DeltaPy⁠⁠ — Tabular Data Augmentation & Feature Engineering Finance Quant Machine Learning ML-Quant.com - Automated Research Repository Introduction T

What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu

Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License PyOD is a comprehensive and scalable Python toolkit for detecting outlyin

🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels

"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

Time Series Feature Extraction Library Intuitive time series feature extraction This repository hosts the TSFEL - Time Series Feature Extraction Libra

Welcome to ruptures ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation

Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po

ecmwf_models Readers and converters for data from the ECMWF reanalysis models. Written in Python. Works great in combination with pytesmo. Citation If

Estatistica para Ciência de Dados e Machine Learning Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máqui

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

Pytorch EO Deep Learning for Earth Observation applications and research. 🚧 This project is in early development, so bugs and breaking changes are ex

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would

The Top 10 Computer Vision Papers of 2021 The top 10 computer vision papers in 2021 with video demos, articles, code, and paper reference. While the w

The CodeSearchNet challenge has been concluded We would like to thank all participants for their submissions and we hope that this challenge provided

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

Data Science 45-min Intros Every week*, our data science team @Gnip (aka @TwitterBoulder) gets together for about 50 minutes to learn something. While

Here are the sections: Data Science Cheatsheets Data Science EBooks Data Science Question Bank Data Science Case Studies Data Science Portfolio Data J

MIMIC Code Repository The MIMIC Code Repository is intended to be a central hub for sharing, refining, and reusing code used for analysis of the MIMIC

https://covid19dashboards.com This project was built with fastpages Background This project showcases how you can use fastpages to create a static das

Spark Python Notebooks This is a collection of IPython notebook/Jupyter notebooks intended to train the reader on different Apache Spark concepts, fro

🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all

HackerMath for Machine Learning “Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard

Knet Knet (pronounced "kay-net") is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports GPU

DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository

Taguette A spin on the phrase "tag it!", Taguette is a free and open source qualitative research tool that allows users to: Import PDFs, Word Docs (.d

Customer Service Requests Analysis Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e

Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?

PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo

SysIdentPy is a Python module for System Identification using NARMAX models built on top of numpy and is distributed under the 3-Clause BSD license. N

Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented

Knowledge Repo The Knowledge Repo project is focused on facilitating the sharing of knowledge between data scientists and other technical roles using

Sistema de tratamento e análise de grandes volumes de dados através de técnicas de data science Todos os scripts, gráficos e relatórios de todas as at

motutils is a Python package for multiple object tracking research with focus on laboratory animals tracking. Features loads: MOTChallenge CSV, sleap

RLMeta rlmeta - a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib Installation To build fro

FarolCovid 🚦 Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19. Monitoring tool & simulati

WhatsApp-Chat-Analyzer You can view the working project here. WhatsApp chat Analyzer is a WebApp where anyone either tech or non-tech person can analy

ContainDS Dashboards for JupyterHub A Dashboard publishing solution for Data Science teams to share results with decision makers. Run a private on-pre

streamlit-folium This Streamlit Component is a work-in-progress to determine what functionality is desirable for a Folium and Streamlit integration. C