Python Source-Data-free-Domain-Adaptation-for-a-Faster-R-CNN Resources

1st place solution in CCF BDCI 2021 ULSEG challenge This is the source code of the 1st place solution for ultrasound image angioma segmentation task (

Mito Monorepo Mito is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and gener

Heart_Disease_Diagnostic_Analysis Objective 🎯 The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje

CMSC320 - Introduction to Data Science - Fall 2021 Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6

Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr

LSHTM_RCS This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collabo

Data Engineering ZoomCamp I'm partaking in a Data Engineering Bootcamp / Zoomcamp and will be tracking my progress here. I can't promise these notes w

mcmeta Processed, version controlled history of Minecraft's generated data and assets Repository structure Each of the following branches has a commit

Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in

Python implementation of Weng-Lin Bayesian ranking, a better, license-free alternative to TrueSkill This is a port of the amazing openskill.js package

TIANCHI Purchase Redemption Forecast Challenge

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter

Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin

KPACUBO KPACUBO is a set Jupyter notebooks focused on the best practices in both software development and data science, namely, code reuse, explicit d

ae_attendances_modelling This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Pr

Utility to add/remove licenses to/from source files. Supports processing any combination of globs, files, and directories (recurse). Pruning options allow skipping non-licensing files.

FramIp FramIp - it a framework for work with IP and domain Installation (termux) $ pkg install git && pkg install python && git clone https://github.c

☑️ FAIR Enough metrics for research FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python, conforming to the specifications

Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers This repository contains code to run experiments in the paper "Signal Stre

ITC2019 Solver This is the source code of the solver used to compete in the International Timetabling Competition 2019. Building .NET Core (2.1 or hig

HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages. This project was supported by lacuna-fund initiatives. Jump straight to one of the sections below, or just scroll down to find out more.

CNN-Filter-DB An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters Paul Gavrikov, Janis Keuper Paper: htt

WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution This code belongs to the paper [1] available at https://arx

Open-Source Toolbox for Infrastructures Probabilistic Deterioration Modelling OpenIPDM is a MATLAB open-source platform that stands for infrastructure

DROPO: Sim-to-Real Transfer with Offline Domain Randomization Gabriele Tiboni, Karol Arndt, Ville Kyrki. This repository contains the code for the pap

Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y

This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans. TABS relies on a Res-Unet backbone, with a Vision Transformer embedded between the encoder and decoder layers.

On the adaptation of recurrent neural networks for system identification This repository contains the Python code to reproduce the results of the pape

SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation This repo is the official implementation for SegTransVAE. Seg

Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n

POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection Source code related to the article submitted to the Internati

miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish

Clarifying Questions for Query Refinement in Source Code Search This code is part of the reproducibility package for the SANER 2022 paper "Generating

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models This is the source code for the experiments related to the paper Un

coldcuts coldcuts is an R package that allows you to draw and plot automatically segmentations from 3D voxel arrays. The name is inspired by one of It

Trainable Bilateral Filter Layer (PyTorch) This repository contains our GPU-accelerated trainable bilateral filter layer (three spatial and one range

Implementation for "Conditional entropy minimization principle for learning domain invariant representation features". The code is reproduced from thi

Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor

Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model

Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data

The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!

eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c

Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).

Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

Final Project for Practical Python Programming and Algorithms for Data Analysis (PHW2781L, Summer 2020) Redlining, Race-Exclusive Deed Restriction Lan

Py(A)vanza Fetch fund data from avanza.se using Python and some web scraping with bs4. The default way is to display the data in the terminal, apply -

Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of

open(LARGE) Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included. Motivation Oftentimes, especi

Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod

geoarrow Storing geometry data in Apache Arrow format Installation $ pip install

Awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products

scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo

Graviti Python SDK Graviti Python SDK is a python library to access Graviti Data

hash_spider A module for CME that spiders hashes across the domain with a given hash. Installation Simply copy hash_spider.py to your CME module folde

This is a very simple botnet with a CnC server, made by me. Feel free to change anything

DomainMonitor is a web project that has a RESTful API to get a domain's subdomains and whois data.

OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod

Visionary-OS Our Visionary open source discord bot. Our goal is to create a discord bot, which is hosted by us, but every member of our community can

The Open Free Energy library Alchemical free energy calculations for the masses.

Dynamic VAE frame Automatic feature extraction can be achieved by probability di

GreaseLM: Graph REASoning Enhanced Language Models This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language

CST Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021) Prerequisites torch=1.7.0 torchvision qpsolvers numpy prettytable tqd

Visual Clustering Clustering is a popular approach to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a data

SILG This repository contains source code for the Situated Interactive Language Grounding (SILG) benchmark. If you find this work helpful, please cons

Game-Theory-and-Python This is a repository created to run a workshop on Game Theory using the programming language Python and more specifically an op

SpyQL SQL with Python in the middle Concept SpyQL is a query language that combines: the simplicity and structure of SQL with the power and readabilit

bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele

LSHFM.detection This is the PyTorch source code for Distilling Knowledge by Mimicking Features. And this project contains code for object detection wi

Hello from magnus Magnus provides four capabilities for data teams: Compute execution plan: A DAG representation of work that you want to get done. In

Common Data Schemas for Elasticsearch The Common Data Schema for Elasticsearch i

Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python

Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb

A program made in PYTHON🐍 that automatically performs data insertions into a POSTGRES database 🐘 , using as base a .CSV file 📁 , useful in mass data insertions.

Let's Git - Versionsverwaltung & Open Source Hausaufgabe Herzlich Willkommen zu

Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s

Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our

Astro a faster copy of nell's comet nuker also nell uses external libraries like it's cocaine man never learned to use ansi color codes (ily nell) (On

STEM: An approach to Multi-source Domain Adaptation with Guarantees Introduction This is the official implementation of ``STEM: An approach to Multi-s

FairLens FairLens is an open source Python library for automatically discovering bias and measuring fairness in data. The package can be used to quick

ild-cnn This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neur

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis documents. Bibliography, experiments and reports.

Medical Data for Machine Learning This is a curated list of medical data for machine learning. This list is provided for informational purposes only,

This is an implementation of Volodymyr Mnih's dissertation methods on his Massachusetts road & building dataset and my original methods that are publi

Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl

self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might

Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation (CVPR2019) This is a pytorch implementatio

Welcome! 👋🏽 Python Project is Open Source to enhance your python skills. You're free to contribute. 🤓 You just need to give us your scripts written

Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.

Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h

Project IBEX A Celery application to collect data, download media and extract information from social media APIs. Requirements You must have a Redis D

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation This is the PyTorch implemention of ICCV'21 paper SGPA: Structure

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries

Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program