advaitsave/Medical-Imaging-Semantic-Segmentation

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advaitsave/Medical-Imaging-Semantic-Segmentation

advaitsave

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This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl

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Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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CNN based Image Classification on CIFAR-10 dataset, along with data augmentation and deployment of the trained CNN model using Flask. (Python)

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IMDB Movie Reviews - Text preprocessing and classification. Includes BOW model, TF_IDF, VADER entiment analysis, Topic Modelling using Latent Dirichlet Allocation and Word Embeddings. (Python)

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A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)

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LSTM-Embeddings-Text-Classification-Quora

Bidirectional LSTM text classification using Tensorflow 2 GPU for Quora Insincere Questions Classification competition on Kaggle

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