Python Image-Data-Augmentation-in-Keras Resources

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

DataAnalysis DataAnalysis: Some data analysis projects in charles_pikachu You can star this repository to keep track of the project if it's helpful fo

A variational Bayesian method for similarity learning in non-rigid image registration We provide the source code and the trained models used in the re

ALgorithmic_Trading_with_ML An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and

SDM - Lab 1 @ UPC 👨🏻‍💻 Table of contents Introduction Property Graph Dataset 1. Introduction This repo is all about what we have done in SDM lab 1

Unfolded Deep Kernel Estimation for Blind Image Super-resolution Hongyi Zheng, Hongwei Yong, Lei Zhang, "Unfolded Deep Kernel Estimation for Blind Ima

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots Blind2Unblind Citing Blind2Unblind @inproceedings{wang2022blind2unblind, tit

On-the-Fly Adaptation Official Pytorch Code base for On-the-Fly Test-time Adaptation for Medical Image Segmentation Paper Introduction One major probl

Open Data Day Publicbodies.org Nepal We've gathered on Saturday, 5th March 2022 with Open Knowledge Nepal in order to try and automate the collection

DVOF_check_tool Arcpy Tool developed for ArcMap 10.x that checks DVOF points against TDS data and creates an output feature class as well as a check d

Scrapping malaysianpaygap & Extracting data from the posts Recently @malaysianpaygap has gotten quite famous as a platform that enables workers throug

Optical Character Recognition OCR (Optical Character Recognition) is a technology that enables the conversion of document types such as scanned paper

Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)

GBIF-biodiverse-OpenTree Linking data between GBIF, Biodiverse, and Open Tree of Life The python scripts will rely on opentree and Dendropy. To set up

cryptocfb A Python module to encrypt and decrypt data with AES-128 CFB mode. This module supports 8/64/128-bit CFB mode. It can encrypt and decrypt la

CVTLowpoly: Image Lowpoly via Centroid Voronoi Diagram Image Sharp Feature Extraction using Guide Filter's Local Linear Theory via opencv-python. The

LeetComp Analysing compensations mentioned on the Leetcode forums (https://kuuts

Data Structures and Algorithms All the essential resources and template code nee

WebScraping Web scraping Pyton program that scrapes Job website for python devel

ZEROGEN This repository contains the code for our paper “ZeroGen: Efficient Zero

A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr

📣 Welcome to the Rootski codebase! This is the codebase for the application run

TwitterBot-ImageCollector Bot de Twitter que recolecta imagenes a partir de los

SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul

COMP-445 Data Communications & Computer Networks Change Python version in Conda

Custom Keras ML block example for Edge Impulse This repository is an example on

Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit

faune_proche Récupération des données de Faune-France près d'un lieu google maps

Lottery Purchase Prediction Model Objective and Goal Predict the lottery type th

Event based Gesture Recognition Gesture recognition on Event Data usually involv

VHub - An API that permits uploading of vulnerability datasets and return of the serialized data

Official code release for: EditGAN: High-Precision Semantic Image Editing

Date created February 10, 2022 Project Title Explore US Bikeshare Data Descripti

An arduino/ESP project that can play back G-Force data previously recorded

Image Generator API This is an api im working on Currently its just a test project Im trying to make custom readme images with your discord account pr

This repository contains the software implementation of most algorithms used or developed in my research. The LaTeX and Python code for generating the

Transfer Style API It's an API to use with Tranfer Style App, where you can use

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).

Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors   In order to facilitate the res

VISNOTATE: An Opensource tool for Gaze-based Annotation of WSI Data Introduction Requirements Installation and Setup Supported Hardware and Software R

Hyper-Convolution Networks for Biomedical Image Segmentation Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentatio

Kcse-Data-Analysis Data science project for exploratory analysis on the kcse grades dataset (Kamilimu Data Science Track) Findings The performance of

Vaex-Big-Data-Analytics-for-Airline-data A Python notebook (ipynb) created in Jupyter Notebook, which utilizes the Vaex library for Big Data Analytics

Health-Care-DS-Projects Data Science/Analysis Health Care Portfolio Consists Of 3 Projects: Mexico Covid-19 project, analyze the patient medical histo

RPGMaker-MV Translator 🕹️ 🎮 Use AI to translate all the dialogs and texts of your RPGMaker automatically. 👊 You worked hard to make your game, now

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

Using Opencv ,this project is based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching ,it will just mask that image . This project ,if used in cctv then it will detect black listed people if mentioned properly with their images.

image2scan Purpose image2scan is a python program that can be applied on an image in order to get a scan of it back. For this purpose, it searches for

Code for the ToeplitzLDA classifier proposed in here. The classifier conforms sklearn and can be used as a drop-in replacement for other LDA classifiers. For in-depth usage refer to the learning from label proportions (LLP) example or the example script.

OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment.

AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin

Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute

daaja This repository has a implementations of data augmentation for NLP for Japanese: EDA: Easy Data Augmentation Techniques for Boosting Performance

literally-the-most-useless-project [Different steganography methods with examples and my own small image database] This project currently contains thr

MoCap-Solver is a data-driven-based robust marker denoising method, which takes raw mocap markers as input and outputs corresponding clean markers and skeleton motions.

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Crowd-Kit: Computational Quality Control for Crowdsourcing Documentation Crowd-Kit is a powerful Python library that implements commonly-used aggregat

evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g

awesome-MIM Reading list for research topics in Masked Image Modeling(MIM). We list the most popular methods for MIM, if I missed something, please su

FAST is an open-source cross-platform framework with the main goal of making it easier to do high-performance processing and visualization of medical images on heterogeneous systems utilizing both multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL.

Fall 2021 CIS6930 Topics in Computing for Data Science This repository hosts course materials used for a 13-week course "CIS6930 Topics in Computing f

Customizing Visual Styles in Plotly Code for a workshop originally developed for an Unconference session during the Outlier Conference hosted by Data

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (

Grab x Pulis Detailed analysis done to investigate possible reasons for delay in Grab services for NUS Data Analytics Competition 2022, to be found in

It is mainly for data visualization projects of Atmospheric Science, Marine Science, Environmental Science or other majors.

Open Stats Discover and share the KPIs of your OpenSource project. OpenStats is a library built on top of streamlit that extracts data from the Github

hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Python red-black trees A Python implementation of red-black trees. This code was originally copied from programiz.com, but I have made a few tweaks to

Davis-Sunflowers-Su21 Project goals: Plants influence their reproduction and mating system in many ways. Various factors such as time of flowering, ab

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed

A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID

Image captioning End-to-end image captioning with EfficientNet-b3 + LSTM with Attention Model is seq2seq model. In the encoder pretrained EfficientNet

Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA

NeuroGen: activation optimized image synthesis for discovery neuroscience NeuroGen is a framework for synthesizing images that control brain activatio

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;

CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue

waves-art Generate waves art for an image. Requirements: OpenCV Numpy Example Usage python waves_art.py --image_path tests/test1.jpg --patch_size 15 T

Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj

SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you

Dashboard and intuitive data downloader for more interactive experience with interpreting osm change data.

Data Analysis: Data Visualization of Airlines Anderson Cruz | London-UK | Linkedin | Nowa Capital Project: Traffic Airlines Airline Reporting Carrier

SW-CV-ModelZoo Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset Framework: TF/Keras 2.7 Training SQLite D

Pytorch implementation of MaskGIT: Masked Generative Image Transformer

This program will help you to properly scrape all data from a specific website

Simple Python package to convert an image into a quantized image using a customizable palette. Resulting image can be displayed by ePaper displays such as Waveshare displays.

Python script that parses the gpmd stream for GOPRO moov track (MP4) and extract the GPS info into a GPX (and kml) file.

SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification

L3Cube-MahaCorpus L3Cube-MahaCorpus a Marathi monolingual data set scraped from different internet sources. We expand the existing Marathi monolingual