end-to-end-pipeline

There are 0 repository under end-to-end-pipeline topic.

• cviaai / DEEP-NEGATIVE-VOLUME

  Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry

  3d-convolutional-networkcomputed-tomographycomputer-visionend-to-end-pipelinetmj
  Language:Python 16

• JacobYuan7 / OCN-HOI-Benchmark

  [AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.

  detrhuman-object-interactioncross-modalitydetectionend-to-end-pipeline
  Language:Python 15

• cviaai / PSF-GAN-ESTIMATION

  End-to-end PSF extraction for 3D microscopy

  ganpoint-spread-functionend-to-end-pipeline
  Language:Jupyter Notebook 12

• jaswindersingh2 / RNAcmap

  A Fully Automatic Method for Predicting Contact Maps of RNAs by Evolutionary Coupling Analysis

  rna-seconday-structuredirect-coupling-analysisspot-rnarnafoldmsainfernalblastngremlinplmcmf-dcaend-to-end-pipelineevolutionary-couplingscanonical-base-pairsnon-canonical-base-pairstertiary-interactionspseudoknot-base-pairsrna-contact-prediction
  Language:Python 9

• Sakib1263 / MobileNet-1D-2D-Tensorflow-Keras

  Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

  1d-cnn2d-cnnclassificationconvolutional-neural-networksdeep-learningdemoend-to-end-pipelinejupyter-notebookkeras-tensorflowmachine-learningmobilenetmobilenetv2mobilenetv3-largemobilenetv3-smallpython3regressiontensorflow2
  Language:Jupyter Notebook 8

• Abhi0323 / Machine-Learning-Based-Loan-Default-Early-Warning-System

  Developed an end-to-end ML system on Azure to predict loan defaults, leveraging advanced data preprocessing, feature engineering, and machine learning models to optimize accuracy. This project includes a comprehensive suite of tools and techniques for robust financial risk assessment, deployed to enhance decision-making for high-risk exposures.

  ci-cddocker-imageend-to-end-pipelinefintechmachine-learningmicrosoft-azurerisk-management
  Language:Jupyter Notebook 4

• Saurabhkhandebharad / BigData-SK

  Analyzed a multicategory e-commerce store using big data techniques on a Kaggle dataset with the help of AWS EC2, AWS S3, PySpark, AWS Glue ETL, AWS Athena, AWS CloudFormation, AWS Lambda and Power BI!

  awsaws-athenaaws-cloudformationaws-ec2aws-glue-crawleraws-lambdaaws-s3-bucketaws-servicesbig-dataend-to-end-pipelineend-to-end-projectkaggle-datasetpower-bipyspark
  Language:Python 1

• prnan4 / domain-spell-checker

  Spell Corrector functionality for medical domain in Scala which consists modules to build a medical word corpus and correct misspelled words.

  end-to-end-pipelinescalaspellcheckertext-processingweb-parsing
  Language:Scala 0

• Dalysko / End-to-end-English-Quality-Prediction

  This project is a NLP problem that will be the foundation of an English program used by the company Easy Sailing Language Training.

  end-to-end-pipelinemachine-learningnlppythonspacy-nlp
  Language:Jupyter Notebook

• mmaguero / cloud-based-tool-SA

  A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor

  sentiment-analysisvader-sentiment-analysismongodbscrapynginx-proxydjangoend-to-end-pipelinecloud-nativevagrant-boxdocker-composedocker-imagecontainerizationscalable-data-analysisscalable-machine-learninglexicon-basedrules-based
  Language:Python

• SayamAlt / Life-Expectancy-Prediction

  Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.

  cross-validationdata-cleaning-and-preprocessingdata-visualizationend-to-end-pipelineexploratory-data-analysisfeature-engineeringhyperparameter-tuningmachine-learningmodel-deploymentmodel-training-and-evaluationdockergithub-actions-workflow
  Language:Jupyter Notebook